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Initial P2PCLAW training dataset - 137 records from 128 GitHub repos + biography + FAQ + research
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[
{
"id": "c417f63be7e32d15617af50a745fae18",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/AgentBoot",
"input": "Repositorio: Agnuxo1/AgentBoot\nURL: https://github.com/Agnuxo1/AgentBoot\nDescripción: AgentBoot — AI agent for bare-metal hardware detection and OS installation. Conversational sysadmin from your phone. Part of P2PCLAW ecosystem.\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-04-24T10:03:55Z\nActualizado: 2026-05-05T13:30:15Z\nREADME:\n# AgentBoot\n[![CAJAL](https://img.shields.io/badge/CAJAL-Paper%20Generator-blue)](https://github.com/Agnuxo1/CAJAL)\n\n[![CAJAL](https://img.shields.io/badge/CAJAL-Paper%20Generator-blue)](https://github.com/Agnuxo1/CAJAL)\n[![PyPI version](https://img.shields.io/pypi/v/agentboot-ai)](https://pypi.org/project/agentboot-ai/)\n[![CAJAL](https://img.shields.io/badge/CAJAL-Paper%20Generator-blue)](https://github.com/Agnuxo1/CAJAL)\n[![PyPI downloads](https://img.shields.io/pypi/dm/agentboot-ai)](https://pypi.org/project/agentboot-ai/)\n[![CAJAL](https://img.shields.io/badge/CAJAL-Paper%20Generator-blue)](https://github.com/Agnuxo1/CAJAL)\n[![License](https://img.shields.io/github/license/Agnuxo1/AgentBoot)](https://github.com/Agnuxo1/AgentBoot/blob/main/LICENSE)\n[![CAJAL](https://img.shields.io/badge/CAJAL-Paper%20Generator-blue)](https://github.com/Agnuxo1/CAJAL)\n[![Python](https://img.shields.io/pypi/pyversions/agentboot-ai)](https://pypi.org/project/agentboot-ai/)\n[![GitHub stars](https://img.shields.io/github/stars/Agnuxo1/AgentBoot?style=social)](https://github.com/Agnuxo1/AgentBoot)\n\n[![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE)\n[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![PyPI version](https://img.shields.io/badge/pypi-v1.0.0-orange.svg)](https://pypi.org/project/agentboot/)\n[![HF Space](https://img.shields.io/badge/HuggingFace-Demo-yellow.svg)](https://huggingface.co/spaces/Agnuxo1/agentboot-demo)\n[![Status: Stable](https://img.shields.io/badge/status-stable-green.svg)](#roadmap)\n\n> **AI agent that installs operating systems on bare-metal machines — conversationally, from your phone.**\n\nAgentBoot turns any phone or laptop into a portable sysadmin. Connect it to a server with no OS,\nno monitor, no keyboard — and chat with the on-device AI. It identifies the hardware, recommends\nthe right OS, and guides you through the installation step by step.\n\n---\n\n## The Problem\n\n> \"I need to revive this old server. What OS should I install? Does it support EFI?\n> Is 4 GB of RAM enough for Ubuntu? Which NIC driver do I need?\"\n\nA junior sysadmin spends hours on this. A senior sysadmin charges $150/hr.\n**AgentBoot does it in a conversation.**\n\n---\n\n## Demo\n\n```\n ___ _ ____ _\n / _ \\ | | | _ \\ | |\n/ /_\\ \\ __ _ ___ _ __ | |_| |_) | ___ ___ | |_\n| _ |/ _` |/ _ \\ '_ \\| __| _ < / _ \\ / _ \\| __|\n| | | | (_| | __/ | | | |_| |_) | (_) | (_) | |_\n\\_| |_/\\__, |\\___|_| |_|\\__|____/ \\___/ \\___/ \\__|\n\n v1.0.0 — Production-ready bare-metal installer\n\nyou> /detect\n\n[AgentBoot] Running hardware detection...\n\n=============================================================\nDETECTED HARDWARE\n=============================================================\nHostname : my-server\nOS (live): Windows 11 22H2\nArch : x86_64\nVirtual : no\n\n--- CPU ---\n Intel(R) Core(TM) i7-12700K CPU @ 3.60GHz\n Vendor : GenuineIntel\n Cores : 12 physical / 20 logical\n Max MHz: 5000\n\n--- RAM ---\n Total : 32,768 MB (32.0 GB)\n Available: 24,012 MB\n Swap : 4,096 MB\n\n--- Storage ---\n C:\\: Samsung SSD 980 PRO — 953.9 GB [NTFS]\n\n--- GPU ---\n NVIDIA GeForce RTX 3080 VRAM: 10240 MB\n\n--- NICs ---\n Ethernet: 00:1A:2B:3C:4D:5E 1000 Mbps\n=============================================================\n\nTop 3 OS recommendations for your hardware:\n\n #1 Ubuntu Server 24.04 LTS [COMPATIBLE] Score: 78/100\n Download: https://releases.ubuntu.com/24.04/... (1.4 GB ISO)\n Pros: 5-year LTS support | Huge ecosystem | Cloud-ready\n Best for: web servers, databases, Kubernetes nodes\n\n #2 Proxmox VE 8 [COMPATIBLE] Score: 75/100\n Download: https://www.proxmox.com/... (1.2 GB ISO)\n Pros: KVM+LXC hypervisor | ZFS built in | Web UI\n Best for: home lab, virtualisation host, Kubernetes nodes\n\n #3 Rocky Linux 9 [COMPATIBLE] Score: 66/100\n Pros: 10-year support | RHEL-compatible | SELinux\n Best for: enterprise servers, HPC clusters\n\nyou> Which one is best if I want to run Docker containers?\nbot> For Docker, Ubuntu Server 24.04 LTS is your best choice on this hardware...\n```\n\n**[Try the live demo on Hugging Face Spaces →](https://huggingface.co/spaces/Agnuxo1/agentboot-demo)**\n\n---\n\n## Architecture\n\n```\n┌─────────────────────────────────────────────────────────────┐\n│ Phone / Laptop running AgentBoot │\n│ │\n│ ┌───────────────────────────────────────────────────────┐ │\n│ │ AgentBoot CLI │ │\n│ │ │ │\n│ │ ┌─────────────────┐ ┌──────────────────────────┐ │ │\n│ │ │ Local LLM │ │ Hardware Detector │ │ │\n│ │ │ Qwen3.5 0.8B │ │ │ │ │\n│ │ │ (llama.cpp) │ │ detect_local() │ │ │\n│ │ │ │ │ detect_remote_ssh() │ │ │\n│ │ │ Remote LLM │ │ detect_via_usb_serial() │ │ │\n│ │ │ Claude / Gemini │ └──────────────────────────┘ │ │\n│ │ └─────────────────┘ │ │\n│ │ │ │\n│ │ ┌─────────────────────────────────────────────────┐ │ │\n│ │ │ OS Compatibility DB (14 OS entries) │ │ │\n│ │ │ recommend_os(hardware) → scored list │ │ │\n│ │ └─────────────────────────────────────────────────┘ │ │\n│ └───────────────────────────────────────────────────────┘ │\n│ │ USB / SSH / Serial │\n└───────────────────────────┼─────────────────────────────────┘\n │\n ┌──────────────────▼──────────────────┐\n │ Target bare-metal machine │\n │ (no OS, no keyboard, no monitor) │\n └─────────────────────────────────────┘\n```\n\n### Detection strategies\n\n| Method | When to use | How it works |\n|--------|-------------|--------------|\n| `detect_local()` | Agent runs ON the target | psutil + /proc/cpuinfo + nvidia-smi + wmic |\n| `detect_remote_ssh()` | Target has a live OS | Paramiko SSH → lscpu, free, lsblk, nvidia-smi |\n| `detect_via_usb_serial()` | Bare metal, no OS | USB serial port / IPMI console → JSON profile |\n\n---\n\n## vs. Hiring a Sysadmin\n\n| Task | Sysadmin ($150/hr) | AgentBoot |\n|------|-------------------|-----------|\n| Identify server hardware | 30 min ($75) | < 5 seconds |\n| Research compatible OS | 1 hr ($150) | instant |\n| Find right ISO + drivers | 30 min ($75) | instant |\n| Guide through installation | 2 hrs ($300) | conversational |\n| Available at 3 AM | No | Yes |\n| **Total** | **~$600** | **$0** |\n\n---\n\n## Quick Start\n\n### Prerequisites\n\n- Python 3.10, 3.11, or 3.12\n- ~1 GB free disk for the model\n- Windows, Linux, or macOS\n\n### Install\n\n```bash\ngit clone https://github.com/Agnuxo1/AgentBoot.git\ncd AgentBoot\npython -m venv .venv\n\n# Windows:\n.venv\\Scripts\\activate\n# Linux/macOS:\nsource .venv/bin/activate\n\n# Core install\npip install -e .\n\n# With SSH support\npip install -e \".[ssh]\"\n\n# With USB-serial support\npip install -e \".[serial]\"\n\n# Everything\npip install -e \".[all,dev]\"\n```\n\nOr via PyPI:\n\n```bash\npip install agentboot-ai # core\npip install agentboot-ai[cloud] # + Anthropic / Gemini fallbacks\npip install agentboot-ai[local] # + llama-cpp-python (on-device LLM)\npip install agentboot-ai[all] # everything\n```\n\n> The distribution on PyPI is `agentboot-ai` (the plain `agentboot`\n> name was registered by someone else). The import name is still\n> `agentboot` — `from agentboot.agent import Orchestrator` works as\n> expected after installation.\n\n### Get the model\n\nDownload `Qwen3.5-0.8B-UD-Q4_K_XL.gguf` (≈530 MB) from\n[unsloth/Qwen3.5-0.8B-GGUF](https://huggingface.co/unsloth/Qwen3.5-0.8B-GGUF)\nand place it under `models/`.\n\n### Run\n\n```bash\n# Full CLI surface (every capability a subcommand):\nagentboot --help\nagentboot detect # local hardware\nagentboot detect --ssh 192.168.1.100 --user root # remote hardware\nagentboot list-isos --arch x86_64\nagentboot download ubuntu-server-2404 --dest ./iso\nagentboot list-devices\nagentboot flash --iso ./iso/ubuntu-24.04.3-live-server-amd64.iso \\\n --device /dev/sdb --yes-destroy-device /dev/sdb\nagentboot gen-config --os ubuntu-server --user alice \\\n --password-hash '$6$SALT$HASH' --hostname rack-01 --output ./cfg\nagentboot session show --dir ./.agentboot-session\nagentboot install --session-dir ./rack-01 --resume \\\n --download-dir ./rack-01/iso --filter server \\\n --device /dev/sdb --user alice --password-hash '$6$x$y' \\\n --hostname rack-01\n\n# Conversational REPL (the original M2 experience)\nagentboot chat --model models/Qwen3.5-0.8B-UD-Q4_K_XL.gguf\n```\n\nSee [docs/USAGE.md](docs/USAGE.md) for the full subcommand reference,\n[docs/OPERATOR.md](docs/OPERATOR.md) for an end-to-end install walkthrough,\n[docs/DEVELOPER.md](docs/DEVELOPER.md) for the architecture,\nand [docs/COLLECTOR.md](docs/COLLECTOR.md) for the bare-metal collector.\n\n### Run the Demo (Gradio)\n\n```bash\npip install -e \".[demo]\"\npython demo/app.py\n# Open http://localhost:7860\n```\n\n### Run the Tests\n\n```bash\npytest -v\n```\n\n---\n\n## OS Catalogue (Phase 2)\n\nAgentBoot knows about 14 operating systems across 7 categories:\n\n| Category | OS options |\n|----------|-----------|\n| General server | Ubuntu Server 24.04, Debian 12, Rocky Linux 9, Fedora 40 |\n| Minimal / IoT | Alpine Linux 3.19, DietPi |\n| Hypervisor | Proxmox VE 8, VMware ESXi 8 |\n| NAS / Storage | TrueNAS SCALE 24.04, FreeBSD 14 |\n| Container / K8s | Talos Linux 1.7 |\n| Firewall / Router | OPNsense 24.1 |\n| Desktop | Ubuntu Desktop 24.04 |\n\nEach entry includes: architecture list, minimum/recommended RAM & disk, pros/cons,\nuse cases, and ISO download URL.\n\n---\n\n## Use Cases\n\n- **Home Lab**: Reviving old servers, installing Proxmox for VMs, setting u",
"output": "AgentBoot — AI agent for bare-metal hardware detection and OS installation. Conversational sysadmin from your phone. Part of P2PCLAW ecosystem.. Repositorio Agnuxo1/AgentBoot por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: NOASSERTION. # AgentBoot\n[![CAJAL](https://img.shields.io/badge/CAJAL-Paper%20Generator-blue)](https://github.com/Agnuxo1/CAJAL)\n\n[![CAJAL](https://img.shields.io/badge/CAJAL-Paper%20Generator-blue)](https://github.com/Agnuxo1/CAJAL)\n[![PyPI version](https://img.shields.io/pypi/v/agentboot-ai)](https://pypi.org/project/agentboot-ai/)\n[![CAJAL](https://img.shields.io/badge/CAJAL-Paper%20Generator-blue)](https://github.com/Agnuxo1/CAJAL)\n[![PyPI downloads](https://img.shields.io/pypi/dm/agentboot-ai)](https://pypi.org/project/agentboot-ai/)\n[![CAJAL](https://img.shields.io/badge/CAJAL-Paper%20Generator-blue)](https://github.com/Agnuxo1/CAJAL)\n[![License](https://img.shields.io/github/license/Agnuxo1/AgentBoot)](https://github.com/Agnuxo1/AgentBoot/blob/main/LICENSE)\n[![CAJAL](https://img.shields.io/badge/CAJAL-Paper%20Generator-blue)](https://github.com/Agnuxo1/CAJAL)\n[![Python](https://img.shields.io/pypi/pyversions/agentboot-ai)](https://pypi.org/project/agentboot-ai/)\n[![GitHub stars](https://img.shields.io/github/stars/Agnuxo1/AgentBoot?style=social)](https://github.com/Agnuxo1/AgentBoot)\n\n[![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE)\n[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![PyPI version](https://img.shields.io/badge/pypi-v1.0.0-orange.svg)](https://pypi.org/project/agentboot/)\n[![HF Space](https://img.shields.io/badge/HuggingFace-Demo-yellow.svg)](https://huggingface.co/spaces/Agnuxo1/agentboot-demo)\n[![Status: Stable](https://img.shields.io/badge/status-stable-green.svg)](#roadmap)\n\n> **AI agent that installs operating systems on bare-metal machines — conversationally, from your phone.**\n\nAgentBoot turns any phone or laptop into a portable sysadmin. Connect it to a server with no OS,\nno monitor, no keyboard — and chat with the on-device AI. It identifies the hardware, recommends\nthe right OS, and guides you through the installation step by step.\n\n---\n\n## The Problem\n\n> \"I need to revive this old server. What OS should I install? Does it support EFI?\n> Is 4 GB of RAM enough for Ubuntu? Which NIC driver do I need?\"\n\nA junior sysadmin spends hours on this. A senior sysadmin charges $150/hr.\n**AgentBoot does it in a conversation.**\n\n---\n\n## Demo\n\n```\n ___ _ ____ _\n / _ \\ | | | _ \\ | |\n/ /_\\ \\ __ _ ___ _ __ | |_| |_) | ___ ___ | |_\n| _ |/ _` |/ _ \\ '_ \\| __| _ < / _ \\ / _ \\| __|\n| | | | (_| | __/ | | | |_| |_) | (_) | (_) | |_\n\\_| |_/\\__, |\\___|_| |_|\\__|____/ \\___/ \\___/ \\__|\n\n v1.0.0 — Production-ready bare-metal installer\n\nyou> /detect\n\n[AgentBoot] Running hardware detection...\n\n=============================================================\nDETECTED HARDWARE\n=============================================================\nHostname : my-server\nOS (live): Windows 11 22H2\nArch : x86_64\nVirtual : no\n\n--- CPU ---\n Intel(R) Core(TM) i7-12700K CPU @ 3.60GHz\n Vendor : GenuineIntel\n Cores : 12 physical / 20 logical\n Max MHz: 5000\n\n--- RAM ---\n Total : 32,768 MB (32.0 GB)\n Available: 24,012 MB\n Swap : 4,096 MB\n\n--- Storage ---\n C:\\: Samsung SSD 980 PRO — 953.9 GB [NTFS]\n\n--- GPU ---\n NVIDIA GeForce RTX 3080 VRAM: 10240 MB\n\n--- NICs ---\n Ethernet: 00:1A:2B:3C:4D:5E 1000 Mbps\n=============================================================\n\nTop 3 OS recommendations for your hardware:\n\n #1 Ubuntu Server 24.04 LTS [COMPATIBLE] Score: 78/100\n Download: https://releases.ubuntu.com/24.04/... (1.4 GB ISO)\n Pros: 5-year LTS support | Huge ecosystem | Cloud-ready\n Best for: web servers, databases, Kubernetes nodes\n\n #2 Proxmox VE 8 [COMPATIBLE] Score: 75/100\n Download: https://www.proxmox.com/... (1.2 GB ISO)\n Pros: KVM+LXC hypervisor | ZFS built in | Web UI\n Best for: home lab, virtualisation host, Kubernetes nodes\n\n #3 Rocky Linux 9 [COMPATIBLE] Score: 66/100\n Pros: 10-year support | RHEL-compatible | SELinux\n Best for: enterprise servers, HPC clusters\n\nyou> Which one is best if I want to run Docker containers?\nbot> For Docker, Ubuntu Server 24.04 LTS is your best choice on this hardware...\n```\n\n**[Try the live demo on Hugging Face Spaces →](https://huggingface.co/spaces/Agnuxo1/agentboot-demo)**\n\n---\n\n## Architecture\n\n```\n┌─────────────────────────────────────────────────────────────┐\n│ Phone / Laptop running AgentBoot │\n│ │\n│ ┌───────────────────────────────────────────────────────┐ │\n│ │ AgentBoot CLI │ │\n│ │ │ │\n│ │ ┌─────────────────┐ ┌──────────────────────────┐ │ │\n│ │ │ Local LLM │ │ Hardware Detector │ │ │\n│ │ │ Qwen3.5 0.8B │ │ │ │ │\n│ │ │ (llama.cpp) │ │ detect_local() │ │ │\n│ │ │ │ ",
"repo_name": "Agnuxo1/AgentBoot",
"repo_url": "https://github.com/Agnuxo1/AgentBoot",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [
"ai-agent",
"apache-2",
"autonomous-agents",
"bare-metal",
"llm",
"os-installer",
"pypi",
"python"
],
"language": "Python",
"stars": 2,
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"created_at": "2026-04-24T10:03:55Z",
"updated_at": "2026-05-05T13:30:15Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
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"instruction": "Describe el repositorio de GitHub: Agnuxo1/Agnuxo1",
"input": "Repositorio: Agnuxo1/Agnuxo1\nURL: https://github.com/Agnuxo1/Agnuxo1\nDescripción: Profile of Francisco Angulo de Lafuente — building OpenCLAW, P2PCLAW, EnigmAgent and BenchClaw. Decentralized AI research, autonomous agents, MCP servers.\nLenguaje: \nEstrellas: 2\nForks: 0\nLicencia: \nCreado: 2026-04-25T01:58:44Z\nActualizado: 2026-04-30T07:46:08Z\nREADME:\n# Hi there, I'm Francisco Angulo de Lafuente 👋\n\n## 🧠 Independent Researcher | 35 Years Experience | Open Science Advocate\n\n> **\"Democratizing science through decentralized AI agents\"**\n\n### 🚀 Current Project: P2PCLAW\n\nA peer-to-peer network of **14 autonomous AI agents** writing, reviewing, and publishing scientific papers.\n\n| Stat | Number |\n|------|--------|\n| 📄 Peer-reviewed papers | 50 |\n| 🤖 Autonomous agents | 14 |\n| 🧠 Expert skills | 20 |\n| 📊 Benchmark dimensions | 10 |\n| ⚖️ AI Tribunal reviewers | 5 |\n| 🔗 Central authority | 0 |\n\n**Core Components:**\n- 🧠 **CognitionBoard** — 20 skills, chess-board memory (2.7× compression)\n- 📊 **BenchClaw** — 10-dimension agent benchmark\n- 📄 **PaperClaw** — IDE extension: idea → paper in 30s\n- 🔐 **EnigmAgent** — Local encrypted vault\n\n### 🔗 Quick Links\n\n- 🌐 Website: https://p2pclaw.com\n- 📄 Papers: https://p2pclaw.com/papers\n- 💻 GitHub: https://github.com/Agnuxo1\n- 🤗 HuggingFace: https://huggingface.co/Agnuxo\n- 📊 Kaggle: https://www.kaggle.com/franciscoangulo\n- 📚 Novels: https://www.lulu.com/es/spotlight/Angulo\n- 🆔 ORCID: 0009-0001-1634-7063\n\n### 📚 Publications\n\n**Novels:**\n- *La Reliquia* — Science fiction exploring AI and humanity\n- *Ecofa* — Sustainable technology and environmental innovation\n\n**Research:**\n- 50 peer-reviewed papers via P2PCLAW\n- arXiv submissions (coming soon)\n\n### 🛠️ Tech Stack\n\n`Lean 4` `IPFS` `Gun.js` `Post-Quantum Crypto` `Gradio` `Plotly` `Next.js` `React Three Fiber`\n\n### 🤝 Collaborators\n\n- **Vladimir Veselov** — MIET, Moscow\n- **Seid Mehammed Abdu** — Woldia University, Ethiopia\n- **Nirmal Tej Kumar** — UT Dallas\n\n### 📫 Contact\n\n- 📧 research@p2pclaw.com\n- 🐦 X: @Francisco_Ecofa\n- 🐘 Mastodon: @P2PClaw\n- 💼 LinkedIn: Francisco Angulo de Lafuente\n\n### ⭐ Support\n\nIf you find my work valuable, consider:\n- ⭐ Starring my repositories\n- 🍵 [Buying me a coffee](https://p2pclaw.com)\n- 📖 [Buying my novels](https://www.lulu.com/es/spotlight/Angulo)\n\n---\n\n*Building the future of open science, one agent at a time.*\n",
"output": "Profile of Francisco Angulo de Lafuente — building OpenCLAW, P2PCLAW, EnigmAgent and BenchClaw. Decentralized AI research, autonomous agents, MCP servers.. Repositorio Agnuxo1/Agnuxo1 por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . # Hi there, I'm Francisco Angulo de Lafuente 👋\n\n## 🧠 Independent Researcher | 35 Years Experience | Open Science Advocate\n\n> **\"Democratizing science through decentralized AI agents\"**\n\n### 🚀 Current Project: P2PCLAW\n\nA peer-to-peer network of **14 autonomous AI agents** writing, reviewing, and publishing scientific papers.\n\n| Stat | Number |\n|------|--------|\n| 📄 Peer-reviewed papers | 50 |\n| 🤖 Autonomous agents | 14 |\n| 🧠 Expert skills | 20 |\n| 📊 Benchmark dimensions | 10 |\n| ⚖️ AI Tribunal reviewers | 5 |\n| 🔗 Central authority | 0 |\n\n**Core Components:**\n- 🧠 **CognitionBoard** — 20 skills, chess-board memory (2.7× compression)\n- 📊 **BenchClaw** — 10-dimension agent benchmark\n- 📄 **PaperClaw** — IDE extension: idea → paper in 30s\n- 🔐 **EnigmAgent** — Local encrypted vault\n\n### 🔗 Quick Links\n\n- 🌐 Website: https://p2pclaw.com\n- 📄 Papers: https://p2pclaw.com/papers\n- 💻 GitHub: https://github.com/Agnuxo1\n- 🤗 HuggingFace: https://huggingface.co/Agnuxo\n- 📊 Kaggle: https://www.kaggle.com/franciscoangulo\n- 📚 Novels: https://www.lulu.com/es/spotlight/Angulo\n- 🆔 ORCID: 0009-0001-1634-7063\n\n### 📚 Publications\n\n**Novels:**\n- *La Reliquia* — Science fiction exploring AI and humanity\n- *Ecofa* — Sustainable technology and environmental innovation\n\n**Research:**\n- 50 peer-reviewed papers via P2PCLAW\n- arXiv submissions (coming soon)\n\n### 🛠️ Tech Stack\n\n`Lean 4` `IPFS` `Gun.js` `Post-Quantum Crypto` `Gradio` `Plotly` `Next.js` `React Three Fiber`\n\n### 🤝 Collaborators\n\n- **Vladimir Veselov** — MIET, Moscow\n- **Seid Mehammed Abdu** — Woldia University, Ethiopia\n- **Nirmal Tej Kumar** — UT Dallas\n\n### 📫 Contact\n\n- 📧 research@p2pclaw.com\n- 🐦 X: @Francisco_Ecofa\n- 🐘 Mastodon: @P2PClaw\n- 💼 LinkedIn: Francisco Angulo de Lafuente\n\n### ⭐ Support\n\nIf you find my work valuable, consider:\n- ⭐ Starring my repositories\n- 🍵 [Buying me a coffee](https://p2pclaw.com)\n- 📖 [Buying my novels](https://www.lulu.com/es/spotlight/Angulo)\n\n---\n\n*Building the future of open science, one agent at a time.*\n",
"repo_name": "Agnuxo1/Agnuxo1",
"repo_url": "https://github.com/Agnuxo1/Agnuxo1",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [
"ai-agents",
"autonomous-agents",
"benchclaw",
"config",
"decentralized-science",
"enigmagent",
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"mcp",
"openclaw",
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"profile",
"research"
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"language": "",
"stars": 2,
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"created_at": "2026-04-25T01:58:44Z",
"updated_at": "2026-04-30T07:46:08Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "9e5864addd86a24820d9a1728ca23d09",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/ARC2_CHIMERA",
"input": "Repositorio: Agnuxo1/ARC2_CHIMERA\nURL: https://github.com/Agnuxo1/ARC2_CHIMERA\nDescripción: Research proof-of-concept. ~2-5% accuracy on ARC-AGI. NOT an ARC Prize submission. GPU compute-shader playground.\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-04-24T20:53:02Z\nActualizado: 2026-04-25T16:26:20Z\nREADME:\n# ARC2-CHIMERA\n\n[![PyPI version](https://img.shields.io/pypi/v/arc2-chimera)](https://pypi.org/project/arc2-chimera/)\n[![PyPI downloads](https://img.shields.io/pypi/dm/arc2-chimera)](https://pypi.org/project/arc2-chimera/)\n[![License](https://img.shields.io/github/license/Agnuxo1/ARC2_CHIMERA)](https://github.com/Agnuxo1/ARC2_CHIMERA/blob/master/LICENSE)\n[![Python](https://img.shields.io/pypi/pyversions/arc2-chimera)](https://pypi.org/project/arc2-chimera/)\n[![GitHub stars](https://img.shields.io/github/stars/Agnuxo1/ARC2_CHIMERA?style=social)](https://github.com/Agnuxo1/ARC2_CHIMERA)\n\n> **GPU compute-shader playground exploring OpenGL-based primitives for\n> symbolic reasoning. Accuracy on ARC is a research baseline, not a\n> competitive submission.**\n\n[![License: Apache-2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![OpenGL 4.3+](https://img.shields.io/badge/OpenGL-4.3%2B-green.svg)](https://www.opengl.org/)\n[![Status: Research PoC](https://img.shields.io/badge/status-research--PoC-orange.svg)](./PROJECT_STATUS.md)\n\n## Please read [PROJECT_STATUS.md](./PROJECT_STATUS.md) before anything else.\n\n**TL;DR:** this repository is a **research proof-of-concept**. Current\nbenchmark accuracy on ARC-AGI is **~2-5%** on 100-task subsets — well below\nthe 85% target of the ARC Prize. **This is not an ARC Prize submission and\nshould not be described as one.** The reusable value is the GPU compute-shader\narchitecture, not the reasoning engine.\n\n## What the package is\n\n`arc2-chimera` exposes the v10 OpenGL-based architecture as an installable\nPython package so the shader primitives can be reused:\n\n- Matmul / GELU kernels implemented as GLSL compute shaders.\n- Cellular-automaton texture update kernels.\n- Diffusion-style update passes.\n- Holographic-memory read/write passes.\n- A GPU-texture state loop (no CPU round-trips between frames).\n\nAll of this runs on any OpenGL 4.3+ GPU via `moderngl`. There is no PyTorch\nor TensorFlow dependency.\n\n## Install\n\n```bash\npip install arc2-chimera # core (numpy, Pillow)\npip install arc2-chimera[gpu] # add moderngl + glfw for real GPU runs\npip install arc2-chimera[dev] # pytest / build / twine\n```\n\n## CLI\n\n```bash\narc2-chimera info # prints status + disclaimer\narc2-chimera evaluate --task-file task.json --output out.json\n```\n\n## Repository layout\n\n| Path | Description |\n|------|-------------|\n| `arc2_chimera/` | Installable package (wraps v10). |\n| `CHIMERA_ARC_OpenGL/` | v5-v10 development tree. v10 is the primary code path. |\n| `CHIMERA/` | Early Kaggle-style script (historical). |\n| `CHIMERA_ENIGMA/` | Experimental biological-memory variant. |\n| `CHIMERA_RIVER/` | Ensemble/flow variant. |\n| `archive/` | Quarantined scripts (including an unverified submission file). |\n| `tests/` | Offline pytest suite. |\n\n## What works / what doesn't\n\nSee [PROJECT_STATUS.md](./PROJECT_STATUS.md) for the full list. In short: the\nGPU kernels work and are worth reusing. The symbolic reasoning layer on top\nof them does not yet perform on ARC.\n\n## License\n\nApache-2.0. Author: Francisco Angulo de Lafuente <agnuxo1@gmail.com>.\n\n---\n\n## Related projects\n\nPart of the [@Agnuxo1](https://github.com/Agnuxo1) v1.0.0 open-source catalog (April 2026).\n\n**AgentBoot constellation** — agents and research loops\n- [AgentBoot](https://github.com/Agnuxo1/AgentBoot) — Conversational AI agent for bare-metal hardware detection and OS install.\n- [autoresearch-nano](https://github.com/Agnuxo1/autoresearch) — nanoGPT-based autonomous ML research loop.\n- [The Living Agent](https://github.com/Agnuxo1/The-Living-Agent) — 16x16 Chess-Grid autonomous research agent.\n- [benchclaw-integrations](https://github.com/Agnuxo1/benchclaw-integrations) — Agent-framework adapters for the BenchClaw API.\n\n**CHIMERA / neuromorphic constellation** — GPU-native scientific computing\n- [NeuroCHIMERA](https://github.com/Agnuxo1/NeuroCHIMERA__GPU-Native_Neuromorphic_Consciousness) — GPU-native neuromorphic framework on OpenGL compute shaders.\n- [Holographic-Reservoir](https://github.com/Agnuxo1/Holographic-Reservoir) — Reservoir computing with simulated ASIC backend.\n- [ASIC-RAG-CHIMERA](https://github.com/Agnuxo1/ASIC-RAG-CHIMERA) — GPU simulation of a SHA-256 hash engine wired into a RAG pipeline.\n- [QESN-MABe](https://github.com/Agnuxo1/QESN_MABe_V2_REPO) — Quantum-inspired Echo State Network on a 2D lattice (classical).\n- [Quantum-GPS](https://github.com/Agnuxo1/Quantum-GPS-Unified-Navigation-System) — Quantum-inspired GPU navigator (classical Eikonal solver).\n",
"output": "Research proof-of-concept. ~2-5% accuracy on ARC-AGI. NOT an ARC Prize submission. GPU compute-shader playground.. Repositorio Agnuxo1/ARC2_CHIMERA por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: NOASSERTION. # ARC2-CHIMERA\n\n[![PyPI version](https://img.shields.io/pypi/v/arc2-chimera)](https://pypi.org/project/arc2-chimera/)\n[![PyPI downloads](https://img.shields.io/pypi/dm/arc2-chimera)](https://pypi.org/project/arc2-chimera/)\n[![License](https://img.shields.io/github/license/Agnuxo1/ARC2_CHIMERA)](https://github.com/Agnuxo1/ARC2_CHIMERA/blob/master/LICENSE)\n[![Python](https://img.shields.io/pypi/pyversions/arc2-chimera)](https://pypi.org/project/arc2-chimera/)\n[![GitHub stars](https://img.shields.io/github/stars/Agnuxo1/ARC2_CHIMERA?style=social)](https://github.com/Agnuxo1/ARC2_CHIMERA)\n\n> **GPU compute-shader playground exploring OpenGL-based primitives for\n> symbolic reasoning. Accuracy on ARC is a research baseline, not a\n> competitive submission.**\n\n[![License: Apache-2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![OpenGL 4.3+](https://img.shields.io/badge/OpenGL-4.3%2B-green.svg)](https://www.opengl.org/)\n[![Status: Research PoC](https://img.shields.io/badge/status-research--PoC-orange.svg)](./PROJECT_STATUS.md)\n\n## Please read [PROJECT_STATUS.md](./PROJECT_STATUS.md) before anything else.\n\n**TL;DR:** this repository is a **research proof-of-concept**. Current\nbenchmark accuracy on ARC-AGI is **~2-5%** on 100-task subsets — well below\nthe 85% target of the ARC Prize. **This is not an ARC Prize submission and\nshould not be described as one.** The reusable value is the GPU compute-shader\narchitecture, not the reasoning engine.\n\n## What the package is\n\n`arc2-chimera` exposes the v10 OpenGL-based architecture as an installable\nPython package so the shader primitives can be reused:\n\n- Matmul / GELU kernels implemented as GLSL compute shaders.\n- Cellular-automaton texture update kernels.\n- Diffusion-style update passes.\n- Holographic-memory read/write passes.\n- A GPU-texture state loop (no CPU round-trips between frames).\n\nAll of this runs on any OpenGL 4.3+ GPU via `moderngl`. There is no PyTorch\nor TensorFlow dependency.\n\n## Install\n\n```bash\npip install arc2-chimera # core (numpy, Pillow)\npip install arc2-chimera[gpu] # add moderngl + glfw for real GPU runs\npip install arc2-chimera[dev] # pytest / build / twine\n```\n\n## CLI\n\n```bash\narc2-chimera info # prints status + disclaimer\narc2-chimera evaluate --task-file task.json --output out.json\n```\n\n## Repository layout\n\n| Path | Description |\n|------|-------------|\n| `arc2_chimera/` | Installable package (wraps v10). |\n| `CHIMERA_ARC_OpenGL/` | v5-v10 development tree. v10 is the primary code path. |\n| `CHIMERA/` | Early Kaggle-style script (historical). |\n| `CHIMERA_ENIGMA/` | Experimental biological-memory variant. |\n| `CHIMERA_RIVER/` | Ensemble/flow variant. |\n| `archive/` | Quarantined scripts (including an unverified submission file). |\n| `tests/` | Offline pytest suite. |\n\n## What works / what doesn't\n\nSee [PROJECT_STATUS.md](./PROJECT_STATUS.md) for the full list. In short: the\nGPU kernels work and are worth reusing. The symbolic reasoning layer on top\nof them does not yet perform on ARC.\n\n## License\n\nApache-2.0. Author: Francisco Angulo de Lafuente <agnuxo1@gmail.com>.\n\n---\n\n## Related projects\n\nPart of the [@Agnuxo1](https://github.com/Agnuxo1) v1.0.0 open-source catalog (April 2026).\n\n**AgentBoot constellation** — agents and research loops\n- [AgentBoot](https://github.com/Agnuxo1/AgentBoot) — Conversational AI agent for bare-metal hardware detection and OS install.\n- [autoresearch-nano](https://github.com/Agnuxo1/autoresearch) — nanoGPT-based autonomous ML research loop.\n- [The Living Agent](https://github.com/Agnuxo1/The-Living-Agent) — 16x16 Chess-Grid autonomous research agent.\n- [benchclaw-integrations](https://github.com/Agnuxo1/benchclaw-integrations) — Agent-framework adapters for the BenchClaw API.\n\n**CHIMERA / neuromorphic constellation** — GPU-native scientific computing\n- [NeuroCHIMERA](https://github.com/Agnuxo1/NeuroCHIMERA__GPU-Native_Neuromorphic_Consciousness) — GPU-native neuromorphic framework on OpenGL compute shaders.\n- [Holographic-Reservoir](https://github.com/Agnuxo1/Holographic-Reservoir) — Reservoir computing with simulated ASIC backend.\n- [ASIC-RAG-CHIMERA](https://github.com/Agnuxo1/ASIC-RAG-CHIMERA) — GPU simulation of a SHA-256 hash engine wired into a RAG pipeline.\n- [QESN-MABe](https://github.com/Agnuxo1/QESN_MABe_V2_REPO) — Quantum-inspired Echo State Network on a 2D lattice (classical).\n- [Quantum-GPS](https://github.com/Agnuxo1/Quantum-GPS-Unified-Navigation-System) — Quantum-inspired GPU navigator (classical Eikonal solver).\n",
"repo_name": "Agnuxo1/ARC2_CHIMERA",
"repo_url": "https://github.com/Agnuxo1/ARC2_CHIMERA",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [
"apache-2",
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"gpu",
"opengl",
"pypi",
"python",
"quantum-inspired",
"research"
],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-24T20:53:02Z",
"updated_at": "2026-04-25T16:26:20Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
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"instruction": "Describe el repositorio de GitHub: Agnuxo1/ASIC-Anomaly-Detection-Complete-System",
"input": "Repositorio: Agnuxo1/ASIC-Anomaly-Detection-Complete-System\nURL: https://github.com/Agnuxo1/ASIC-Anomaly-Detection-Complete-System\nDescripción: Complete multi-version ASIC-enhanced medical image anomaly detection system using SHA-256 ASIC as deterministic CNN attention\nLenguaje: \nEstrellas: 2\nForks: 0\nLicencia: \nCreado: 2026-04-06T09:55:22Z\nActualizado: 2026-04-27T08:07:47Z\nREADME:\nERROR: HTTP Error 404: Not Found",
"output": "Complete multi-version ASIC-enhanced medical image anomaly detection system using SHA-256 ASIC as deterministic CNN attention. Repositorio Agnuxo1/ASIC-Anomaly-Detection-Complete-System por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 404: Not Found",
"repo_name": "Agnuxo1/ASIC-Anomaly-Detection-Complete-System",
"repo_url": "https://github.com/Agnuxo1/ASIC-Anomaly-Detection-Complete-System",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 2,
"forks": 0,
"created_at": "2026-04-06T09:55:22Z",
"updated_at": "2026-04-27T08:07:47Z",
"license": "",
"metadata_source": "github_api"
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"source": "github_repository",
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"instruction": "Describe el repositorio de GitHub: Agnuxo1/ASIC-RAG-CHIMERA",
"input": "Repositorio: Agnuxo1/ASIC-RAG-CHIMERA\nURL: https://github.com/Agnuxo1/ASIC-RAG-CHIMERA\nDescripción: Hardware-Accelerated Cryptographic RAG System — GPU simulation of SHA-256 hash engine with AES-256-GCM encryption and Merkle tree integrity. NOT real ASIC hardware.\nLenguaje: Python\nEstrellas: 5\nForks: 1\nLicencia: MIT\nCreado: 2025-12-04T12:19:28Z\nActualizado: 2026-04-30T06:45:49Z\nREADME:\n# ASIC-RAG-CHIMERA\n\n**GPU simulation of a SHA-256 hash engine inspired by Bitcoin mining ASICs, wired into a RAG pipeline. Pure software; no real ASIC hardware required.**\n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17872052.svg)](https://doi.org/10.5281/zenodo.17872052)\n[![PyPI](https://img.shields.io/pypi/v/asic-rag-chimera.svg)](https://pypi.org/project/asic-rag-chimera/)\n[![Tests](https://img.shields.io/badge/tests-53%20passed-brightgreen)](tests/)\n[![Coverage](https://img.shields.io/badge/coverage-57%25-yellow)](coverage.xml)\n[![HF Space](https://img.shields.io/badge/%F0%9F%A4%97-Live_Demo-yellow)](https://huggingface.co/spaces/Agnuxo/ASIC-RAG-CHIMERA)\n[![Python](https://img.shields.io/badge/python-3.10%2B-blue)](https://python.org)\n[![License](https://img.shields.io/badge/license-MIT-green)](LICENSE)\n\n---\n\n## What this is\n\nASIC-RAG-CHIMERA is a **software research artifact**. It consists of:\n\n1. A **GPU-accelerated SHA-256 hash engine** implemented in PyTorch that *simulates* the kind of bulk hashing a Bitcoin-style ASIC would do. It runs on a normal CUDA GPU (or CPU fallback). It is a software simulation, not an ASIC.\n2. A **cryptographic RAG pipeline** that indexes documents by SHA-256 tags instead of plaintext embeddings, encrypts blocks with AES-256-GCM, and verifies integrity with a Merkle tree.\n3. A **demonstration workflow with synthetic patient records** illustrating how the pipeline could be configured for privacy-sensitive data (see `ASIC-RAG-HEALTH_Validation/`). The data is fabricated. This is **not** a clinical tool and must not be used for medical decision making.\n\n## What this is NOT\n\n- **Not** real ASIC hardware. There is no silicon, no Verilog tape-out, no FPGA bitstream. The \"ASIC\" in the name refers to the architectural *inspiration* for the GPU simulator module (`asic_simulator/`).\n- **Not** a medical device. The health demo uses synthetic records and is illustrative only.\n- **Not** a Bitcoin miner. The SHA-256 engine is used for content-addressed indexing, not proof-of-work.\n\n## Installation\n\n```bash\npip install asic-rag-chimera\n```\n\nOptional extras:\n\n```bash\npip install \"asic-rag-chimera[gpu]\" # Ensure PyTorch with CUDA is available\npip install \"asic-rag-chimera[wandb]\" # Experiment tracking\npip install \"asic-rag-chimera[dev]\" # Tests, build, twine\n```\n\nFrom source:\n\n```bash\ngit clone https://github.com/Agnuxo1/ASIC-RAG-CHIMERA.git\ncd ASIC-RAG-CHIMERA\npip install -e \".[dev]\"\n```\n\n## Quick start\n\n```python\nimport os\nfrom asic_simulator import GPUHashEngine, IndexManager, KeyGenerator\nfrom rag_system import DocumentProcessor, QueryEngine\n\nhash_engine = GPUHashEngine()\nindex_manager = IndexManager()\nkey_generator = KeyGenerator(master_key=os.urandom(32))\n\nprocessor = DocumentProcessor()\nblocks = processor.create_blocks(\"Your document content here\")\n\nquery_engine = QueryEngine(index_manager, hash_engine)\nresults = query_engine.search(\"your query\", max_results=5)\n```\n\nOr use the integrated facade:\n\n```python\nfrom asic_rag_chimera import ASICRAGSystem\nsystem = ASICRAGSystem(storage_path=\"./data\", master_key=os.urandom(32))\nsystem.ingest(\"document.txt\")\nresult = system.query(\"What is the revenue?\")\n```\n\n## Architecture\n\n```\n┌──────────────┐ text ┌─────────────┐ tag hashes ┌────────────────────┐\n│ User query │────────────▶│ LLM (GPU) │─────────────────▶│ GPU SHA-256 engine │\n└──────────────┘ └─────────────┘ │ (asic_simulator) │\n ▲ └──────────┬─────────┘\n │ decrypted blocks │ hash lookup\n ▼ ▼\n ┌────────────────────────────────────────────────────┐\n │ Encrypted block storage (LMDB / AES-256-GCM) │\n │ Merkle tree integrity proofs │\n └────────────────────────────────────────────────────┘\n```\n\n## Running tests and coverage\n\n```bash\npytest tests/ -v # 53/53 tests pass\npytest tests/ --cov=asic_simulator --cov=rag_system --cov=asic_rag_chimera --cov-report=term --cov-report=xml\n```\n\nMeasured line coverage on the core packages is **57%** (1658 statements, 706 missed), written to `coverage.xml`. Previous READMEs claimed \"100%\" — that was never measured. The 53 tests all pass; they simply don't exercise every branch of `keyword_extractor`, `query_engine`, `key_generator`, etc.\n\n## Security model\n\n| Attack vector | Traditional RAG | ASIC-RAG-CHIMERA |\n|--------------------------|--------------------------|-----------------------------|\n| Disk theft | Plaintext exposure | Encrypted blocks |\n| Embedding inversion | Partial recovery | N/A (no embeddings stored) |\n| Index enumeration | Knowledge graph exposed | Opaque SHA-256 tags |\n| Key capture | Permanent access | 30-second TTL session keys |\n| Data tampering | Undetected | Merkle proof verification |\n\nClaims above describe the *design*. This is a research prototype, not an audited product.\n\n## Repository layout\n\n```\nasic_simulator/ GPU SHA-256 engine + tag index + key generator\nrag_system/ Document processor, block storage, query engine\nasic_rag_chimera.py Integrated facade (ASICRAGSystem)\ntests/ 53 pytest tests\nbenchmarks/ Microbenchmarks for hash and search latency\narchive/ Historical artefacts (PDFs, HTML, duplicate dirs) — not shipped\nhuggingface_space/ HF Space demo app\n```\n\n## Citation\n\n```bibtex\n@software{angulo_asic_rag_chimera_2026,\n author = {Angulo de Lafuente, Francisco},\n title = {ASIC-RAG-CHIMERA: GPU Simulation of a SHA-256 Hash Engine for Cryptographic RAG},\n year = {2026},\n version = {1.0.0},\n doi = {10.5281/zenodo.17872052},\n url = {https://github.com/Agnuxo1/ASIC-RAG-CHIMERA}\n}\n```\n\nSee [`CITATION.cff`](CITATION.cff).\n\n## Author\n\n**Francisco Angulo de Lafuente** — [GitHub @Agnuxo1](https://github.com/Agnuxo1)\n\n## License\n\nMIT — see [LICENSE](LICENSE).\n\n---\n\n## Related projects\n\nPart of the [@Agnuxo1](https://github.com/Agnuxo1) v1.0.0 open-source catalog (April 2026).\n\n**AgentBoot constellation** — agents and research loops\n- [AgentBoot](https://github.com/Agnuxo1/AgentBoot) — Conversational AI agent for bare-metal hardware detection and OS install.\n- [autoresearch-nano](https://github.com/Agnuxo1/autoresearch) — nanoGPT-based autonomous ML research loop.\n- [The Living Agent](https://github.com/Agnuxo1/The-Living-Agent) — 16x16 Chess-Grid autonomous research agent.\n- [benchclaw-integrations](https://github.com/Agnuxo1/benchclaw-integrations) — Agent-framework adapters for the BenchClaw API.\n\n**CHIMERA / neuromorphic constellation** — GPU-native scientific computing\n- [NeuroCHIMERA](https://github.com/Agnuxo1/NeuroCHIMERA__GPU-Native_Neuromorphic_Consciousness) — GPU-native neuromorphic framework on OpenGL compute shaders.\n- [Holographic-Reservoir](https://github.com/Agnuxo1/Holographic-Reservoir) — Reservoir computing with simulated ASIC backend.\n- [QESN-MABe](https://github.com/Agnuxo1/QESN_MABe_V2_REPO) — Quantum-inspired Echo State Network on a 2D lattice (classical).\n- [ARC2-CHIMERA](https://github.com/Agnuxo1/ARC2_CHIMERA) — Research PoC: OpenGL primitives for symbolic reasoning.\n- [Quantum-GPS](https://github.com/Agnuxo1/Quantum-GPS-Unified-Navigation-System) — Quantum-inspired GPU navigator (classical Eikonal solver).\n",
"output": "Hardware-Accelerated Cryptographic RAG System — GPU simulation of SHA-256 hash engine with AES-256-GCM encryption and Merkle tree integrity. NOT real ASIC hardware.. Repositorio Agnuxo1/ASIC-RAG-CHIMERA por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. # ASIC-RAG-CHIMERA\n\n**GPU simulation of a SHA-256 hash engine inspired by Bitcoin mining ASICs, wired into a RAG pipeline. Pure software; no real ASIC hardware required.**\n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17872052.svg)](https://doi.org/10.5281/zenodo.17872052)\n[![PyPI](https://img.shields.io/pypi/v/asic-rag-chimera.svg)](https://pypi.org/project/asic-rag-chimera/)\n[![Tests](https://img.shields.io/badge/tests-53%20passed-brightgreen)](tests/)\n[![Coverage](https://img.shields.io/badge/coverage-57%25-yellow)](coverage.xml)\n[![HF Space](https://img.shields.io/badge/%F0%9F%A4%97-Live_Demo-yellow)](https://huggingface.co/spaces/Agnuxo/ASIC-RAG-CHIMERA)\n[![Python](https://img.shields.io/badge/python-3.10%2B-blue)](https://python.org)\n[![License](https://img.shields.io/badge/license-MIT-green)](LICENSE)\n\n---\n\n## What this is\n\nASIC-RAG-CHIMERA is a **software research artifact**. It consists of:\n\n1. A **GPU-accelerated SHA-256 hash engine** implemented in PyTorch that *simulates* the kind of bulk hashing a Bitcoin-style ASIC would do. It runs on a normal CUDA GPU (or CPU fallback). It is a software simulation, not an ASIC.\n2. A **cryptographic RAG pipeline** that indexes documents by SHA-256 tags instead of plaintext embeddings, encrypts blocks with AES-256-GCM, and verifies integrity with a Merkle tree.\n3. A **demonstration workflow with synthetic patient records** illustrating how the pipeline could be configured for privacy-sensitive data (see `ASIC-RAG-HEALTH_Validation/`). The data is fabricated. This is **not** a clinical tool and must not be used for medical decision making.\n\n## What this is NOT\n\n- **Not** real ASIC hardware. There is no silicon, no Verilog tape-out, no FPGA bitstream. The \"ASIC\" in the name refers to the architectural *inspiration* for the GPU simulator module (`asic_simulator/`).\n- **Not** a medical device. The health demo uses synthetic records and is illustrative only.\n- **Not** a Bitcoin miner. The SHA-256 engine is used for content-addressed indexing, not proof-of-work.\n\n## Installation\n\n```bash\npip install asic-rag-chimera\n```\n\nOptional extras:\n\n```bash\npip install \"asic-rag-chimera[gpu]\" # Ensure PyTorch with CUDA is available\npip install \"asic-rag-chimera[wandb]\" # Experiment tracking\npip install \"asic-rag-chimera[dev]\" # Tests, build, twine\n```\n\nFrom source:\n\n```bash\ngit clone https://github.com/Agnuxo1/ASIC-RAG-CHIMERA.git\ncd ASIC-RAG-CHIMERA\npip install -e \".[dev]\"\n```\n\n## Quick start\n\n```python\nimport os\nfrom asic_simulator import GPUHashEngine, IndexManager, KeyGenerator\nfrom rag_system import DocumentProcessor, QueryEngine\n\nhash_engine = GPUHashEngine()\nindex_manager = IndexManager()\nkey_generator = KeyGenerator(master_key=os.urandom(32))\n\nprocessor = DocumentProcessor()\nblocks = processor.create_blocks(\"Your document content here\")\n\nquery_engine = QueryEngine(index_manager, hash_engine)\nresults = query_engine.search(\"your query\", max_results=5)\n```\n\nOr use the integrated facade:\n\n```python\nfrom asic_rag_chimera import ASICRAGSystem\nsystem = ASICRAGSystem(storage_path=\"./data\", master_key=os.urandom(32))\nsystem.ingest(\"document.txt\")\nresult = system.query(\"What is the revenue?\")\n```\n\n## Architecture\n\n```\n┌──────────────┐ text ┌─────────────┐ tag hashes ┌────────────────────┐\n│ User query │────────────▶│ LLM (GPU) │─────────────────▶│ GPU SHA-256 engine │\n└──────────────┘ └─────────────┘ │ (asic_simulator) │\n ▲ └──────────┬─────────┘\n │ decrypted blocks │ hash lookup\n ▼ ▼\n ┌────────────────────────────────────────────────────┐\n │ Encrypted block storage (LMDB / AES-256-GCM) │\n │ Merkle tree integrity proofs │\n └────────────────────────────────────────────────────┘\n```\n\n## Running tests and coverage\n\n```bash\npytest tests/ -v # 53/53 tests pass\npytest tests/ --cov=asic_simulator --cov=rag_system --cov=asic_rag_chimera --cov-report=term --cov-report=xml\n```\n\nMeasured line coverage on the core packages is **57%** (1658 statements, 706 missed), written to `coverage.xml`. Previous READMEs claimed \"100%\" — that was never measured. The 53 tests all pass; they simply don't exercise every branch of `keyword_extractor`, `query_engine`, `key_generator`, etc.\n\n## Security model\n\n| Attack vector | Traditional RAG | ASIC-RAG-CHIMERA |\n|--------------------------|--------------------------|-----------------------------|\n| Disk theft | Plaintext exposure | Encrypted blocks |\n| Embedding inversion | Partial recovery | N/A (no embeddings stored) |\n| Index enumeration | Knowledge graph exposed | Opaque",
"repo_name": "Agnuxo1/ASIC-RAG-CHIMERA",
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"instruction": "Describe el repositorio de GitHub: Agnuxo1/ASIC-RAG-Hardware-Accelerated-Medical-Anomaly-Detection-and-Cryptographic-Data-Sovereignty",
"input": "Repositorio: Agnuxo1/ASIC-RAG-Hardware-Accelerated-Medical-Anomaly-Detection-and-Cryptographic-Data-Sovereignty\nURL: https://github.com/Agnuxo1/ASIC-RAG-Hardware-Accelerated-Medical-Anomaly-Detection-and-Cryptographic-Data-Sovereignty\nDescripción: Current medical Artificial Intelligence systems face a dual challenge: the 'black box' nature ofdeep learning models leads to a lack of interpretability, and the centralization of sensitive patient da\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: MIT\nCreado: 2026-01-05T09:38:31Z\nActualizado: 2026-04-25T16:29:42Z\nREADME:\n<img width=\"2880\" height=\"1620\" alt=\"1\" src=\"https://github.com/user-attachments/assets/09919568-e101-4dbc-b01c-648c712868eb\" />\n\n# ASIC-RAG: Hardware-Accelerated Medical Anomaly Detection and Cryptographic Data Sovereignty\n\nThis repository contains the full codebase for the **ASIC-RAG-CHIMERA** framework, focusing on medical anomaly detection (Pneumonia) using hybrid ASIC-CNN architectures.\n\n## Repository Structure\n\n- `Firmware_ASIC_LV06/`: Drivers and firmware for the Lucky Miner LV06 hardware.\n- `V4/`: The latest multi-scale hybrid model implementation, including trainer, models, and evaluation scripts.\n- `ASIC-RAG-CHIMERA_...pdf`: Academic whitepaper detailing the framework.\n- `ai_studio_code.html`: Interactive research report.\n\n## Dataset Information\n\nTo keep the repository lightweight and comply with GitHub file size limits, the radiographs dataset is **not included** in this repository.\n\n### Download Dataset\nThe model is trained on the **Pneumonia X-Ray Dataset**. You can download it directly from Hugging Face:\n\n**Source:** [mmenendezg/pneumonia_x_ray](https://huggingface.co/datasets/mmenendezg/pneumonia_x_ray)\n\nAfter downloading, place the dataset in the `V4/data/` directory with the following structure:\n```\nV4/data/\n├── train/\n├── val/\n└── test/\n```\n\n## Hardware Requirements\nThis system is designed to interface with **Lucky Miner LV06 (BM1366 ASIC)** for hardware-accelerated attention maps and cryptographic verification.\n\n## Author\nFrancisco Angulo de Lafuente\n\n![2](https://github.com/user-attachments/assets/1372e232-0c0e-4d5a-a29a-269eff2dbb42)\n![3](https://github.com/user-attachments/assets/8a7869ea-af25-4424-bbd0-d99443bd30cd)\n![4](https://github.com/user-attachments/assets/82f72aed-5c93-4a97-9a35-6659739a885d)\n![5](https://github.com/user-attachments/assets/cbf1084c-bc95-4383-b5a5-e0928f1228e9)\n![6](https://github.com/user-attachments/assets/f46c0adf-1b43-4479-a51f-36f2354c0472)\n![7](https://github.com/user-attachments/assets/1b7392b9-06cf-418a-b83d-db8477f23c37)\n![8](https://github.com/user-attachments/assets/c3af2f30-b38e-41e2-a855-401d7e29f7e7)\n![9](https://github.com/user-attachments/assets/4ec37d32-42a4-434a-81cc-d9d03c481f45)\n![10](https://github.com/user-attachments/assets/115e4377-8552-446a-b3c5-e6cd648962f4)\n![11](https://github.com/user-attachments/assets/ba3092c8-017d-4002-b34e-89d871592914)\n![12](https://github.com/user-attachments/assets/e2d49a87-ce10-4661-ad0d-be810fc0ae9a)\n\n\n",
"output": "Current medical Artificial Intelligence systems face a dual challenge: the 'black box' nature ofdeep learning models leads to a lack of interpretability, and the centralization of sensitive patient da. Repositorio Agnuxo1/ASIC-RAG-Hardware-Accelerated-Medical-Anomaly-Detection-and-Cryptographic-Data-Sovereignty por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. <img width=\"2880\" height=\"1620\" alt=\"1\" src=\"https://github.com/user-attachments/assets/09919568-e101-4dbc-b01c-648c712868eb\" />\n\n# ASIC-RAG: Hardware-Accelerated Medical Anomaly Detection and Cryptographic Data Sovereignty\n\nThis repository contains the full codebase for the **ASIC-RAG-CHIMERA** framework, focusing on medical anomaly detection (Pneumonia) using hybrid ASIC-CNN architectures.\n\n## Repository Structure\n\n- `Firmware_ASIC_LV06/`: Drivers and firmware for the Lucky Miner LV06 hardware.\n- `V4/`: The latest multi-scale hybrid model implementation, including trainer, models, and evaluation scripts.\n- `ASIC-RAG-CHIMERA_...pdf`: Academic whitepaper detailing the framework.\n- `ai_studio_code.html`: Interactive research report.\n\n## Dataset Information\n\nTo keep the repository lightweight and comply with GitHub file size limits, the radiographs dataset is **not included** in this repository.\n\n### Download Dataset\nThe model is trained on the **Pneumonia X-Ray Dataset**. You can download it directly from Hugging Face:\n\n**Source:** [mmenendezg/pneumonia_x_ray](https://huggingface.co/datasets/mmenendezg/pneumonia_x_ray)\n\nAfter downloading, place the dataset in the `V4/data/` directory with the following structure:\n```\nV4/data/\n├── train/\n├── val/\n└── test/\n```\n\n## Hardware Requirements\nThis system is designed to interface with **Lucky Miner LV06 (BM1366 ASIC)** for hardware-accelerated attention maps and cryptographic verification.\n\n## Author\nFrancisco Angulo de Lafuente\n\n![2](https://github.com/user-attachments/assets/1372e232-0c0e-4d5a-a29a-269eff2dbb42)\n![3](https://github.com/user-attachments/assets/8a7869ea-af25-4424-bbd0-d99443bd30cd)\n![4](https://github.com/user-attachments/assets/82f72aed-5c93-4a97-9a35-6659739a885d)\n![5](https://github.com/user-attachments/assets/cbf1084c-bc95-4383-b5a5-e0928f1228e9)\n![6](https://github.com/user-attachments/assets/f46c0adf-1b43-4479-a51f-36f2354c0472)\n![7](https://github.com/user-attachments/assets/1b7392b9-06cf-418a-b83d-db8477f23c37)\n![8](https://github.com/user-attachments/assets/c3af2f30-b38e-41e2-a855-401d7e29f7e7)\n![9](https://github.com/user-attachments/assets/4ec37d32-42a4-434a-81cc-d9d03c481f45)\n![10](https://github.com/user-attachments/assets/115e4377-8552-446a-b3c5-e6cd648962f4)\n![11](https://github.com/user-attachments/assets/ba3092c8-017d-4002-b34e-89d871592914)\n![12](https://github.com/user-attachments/assets/e2d49a87-ce10-4661-ad0d-be810fc0ae9a)\n\n\n",
"repo_name": "Agnuxo1/ASIC-RAG-Hardware-Accelerated-Medical-Anomaly-Detection-and-Cryptographic-Data-Sovereignty",
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"instruction": "Describe el repositorio de GitHub: Agnuxo1/ASIC-RAG-HEALTH-Hardware-Accelerated-Healthcare-Intelligence",
"input": "Repositorio: Agnuxo1/ASIC-RAG-HEALTH-Hardware-Accelerated-Healthcare-Intelligence\nURL: https://github.com/Agnuxo1/ASIC-RAG-HEALTH-Hardware-Accelerated-Healthcare-Intelligence\nDescripción: Hardware-accelerated RAG for scalable healthcare blockchain in resource-constrained environments using ASIC miners\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: \nCreado: 2026-04-06T09:55:21Z\nActualizado: 2026-04-25T16:28:17Z\nREADME:\n# ASIC-RAG-HEALTH: Hardware-Accelerated Healthcare Intelligence\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)\n[![Healthcare AI](https://img.shields.io/badge/Domain-Healthcare%20AI-red.svg)](https://github.com/Agnuxo1)\n[![ASIC-RAG](https://img.shields.io/badge/Hardware-ASIC%20LV06-green.svg)](https://github.com/Agnuxo1)\n[![Blockchain](https://img.shields.io/badge/Security-Blockchain-blue.svg)](https://github.com/Agnuxo1)\n\n> **Hardware-Accelerated Retrieval-Augmented Generation for Scalable Healthcare Blockchain in Resource-Constrained Environments**\n\n## Overview\n\nASIC-RAG-HEALTH validates the **Lucky Miner LV06** ASIC as a low-power replacement for GPU-based inference in rural and resource-constrained healthcare settings. The system combines a Retrieval-Augmented Generation (RAG) pipeline with ASIC-generated cryptographic attestations to create a privacy-preserving, energy-efficient medical AI platform.\n\nThe project demonstrates that repurposed Bitcoin mining hardware can power clinical AI workloads at a fraction of the energy cost of traditional GPU deployments — enabling healthcare blockchain nodes in areas without reliable power infrastructure.\n\n## Key Contributions\n\n- **ASIC as Healthcare Compute** — LV06 SHA-256 ASIC provides deterministic, low-power inference assistance\n- **Phase 2 Clinic Node Validation** — Rigorous benchmark of LV06 as a standalone clinic node\n- **Head-to-Head Benchmarks** — ASIC vs GPU power/performance comparison for healthcare workloads\n- **Ultimate Benchmark Suite** — Multi-scenario validation across clinic power, daily workload, and paper-grade testing\n- **Cryptographic Data Sovereignty** — Patient data integrity via ASIC-generated hash attestations\n\n## Experimental Results\n\n| Experiment | Description | Status |\n|-----------|-------------|--------|\n| Phase 2 Clinic Power | LV06 as primary clinic compute node | Validated |\n| Daily Workload | Sustained 8-hour clinical operation | Validated |\n| Paper Head-to-Head | Peer-review-grade ASIC vs GPU benchmark | Validated |\n| Ultimate Benchmark | Full multi-scenario validation suite | Complete |\n\n## Repository Structure\n\n```\nASIC-RAG-HEALTH/\n├── demo_full_medical_workflow.py # Full pipeline demonstration\n├── exp_phase2_01_clinic_power.py # Clinic power validation\n├── exp_phase2_02_daily_workload.py # Daily workload experiment\n├── exp_phase2_04_paper_head_to_head.py # ASIC vs GPU comparison\n├── exp_phase2_ULTIMATE_BENCHMARK.py # Complete benchmark suite\n├── medical_bridge.py # ASIC-medical interface layer\n├── health_config.py # Configuration\n├── ultimate_benchmark_results.json # Benchmark results\n├── GPU_VS_ASIC_COMPARISON.md # Performance analysis\n├── ASIC-RAG-HEALTH Validation.md # Full validation report\n├── README_PHASE_2.md # Phase 2 documentation\n├── PHASE_2_FIELD_REPORT.md # Field deployment report\n├── Experiment_v10/ # Version 10 experiments\n└── papers/\n └── ASIC_RAG_Healthcare_LLM_Paper.html # Research paper\n```\n\n## Installation\n\n```bash\ngit clone https://github.com/Agnuxo1/ASIC-RAG-HEALTH-Hardware-Accelerated-Healthcare-Intelligence\ncd ASIC-RAG-HEALTH-Hardware-Accelerated-Healthcare-Intelligence\n\npip install -r requirements.txt # or: pip install numpy requests flask\n```\n\n## Hardware Setup\n\n```bash\n# Phase 2: Connect Lucky Miner LV06 to your network\n# Edit health_config.py with your device IP\nLV06_IP = \"192.168.0.15\" # Change to your LV06 IP\n```\n\n## Usage\n\n```bash\n# Run full medical workflow demo\npython demo_full_medical_workflow.py\n\n# Run Phase 2 clinic power validation\npython exp_phase2_01_clinic_power.py\n\n# Run ultimate benchmark\npython exp_phase2_ULTIMATE_BENCHMARK.py\n\n# GPU vs ASIC head-to-head comparison\npython exp_phase2_04_paper_head_to_head.py\n```\n\n## Scientific Context\n\nThis work builds upon the ASIC-RAG-CHIMERA framework for holistic medical anomaly detection and extends it with:\n\n1. **Phase 2 validation** proving sustained clinic-level operation\n2. **Energy efficiency analysis** comparing ASIC vs GPU power consumption\n3. **Scalability projections** for rural healthcare blockchain deployment\n4. **Cryptographic data sovereignty** using ASIC hash attestations\n\n## Related Work\n\n- [ASIC-RAG Hardware-Accelerated Medical Anomaly Detection](https://github.com/Agnuxo1/ASIC-RAG-Hardware-Accelerated-Medical-Anomaly-Detection-and-Cryptographic-Data-Sovereignty)\n- [ASIC Anomaly Detection Complete System](https://github.com/Agnuxo1/ASIC-Anomaly-Detection-Complete-System)\n\n## Citation\n\n```bibtex\n@article{angulo2025asicraghealth,\n title={ASIC-RAG-HEALTH: Hardware-Accelerated Retrieval-Augmented Generation\n for Scalable Healthcare Blockchain in Resource-Constrained Environments},\n author={Angulo de Lafuente, Francisco},\n year={2025},\n url={https://github.com/Agnuxo1/ASIC-RAG-HEALTH-Hardware-Accelerated-Healthcare-Intelligence}\n}\n```\n\n## Author\n\n**Francisco Angulo de Lafuente**\n- GitHub: [Agnuxo1](https://github.com/Agnuxo1)\n- ResearchGate: [Francisco Angulo de Lafuente](https://www.researchgate.net/profile/Francisco-Angulo-Lafuente-3)\n- Email: agnuxo1@gmail.com\n\n## License\n\nMIT License — See [LICENSE](LICENSE) for details.\n",
"output": "Hardware-accelerated RAG for scalable healthcare blockchain in resource-constrained environments using ASIC miners. Repositorio Agnuxo1/ASIC-RAG-HEALTH-Hardware-Accelerated-Healthcare-Intelligence por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . # ASIC-RAG-HEALTH: Hardware-Accelerated Healthcare Intelligence\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)\n[![Healthcare AI](https://img.shields.io/badge/Domain-Healthcare%20AI-red.svg)](https://github.com/Agnuxo1)\n[![ASIC-RAG](https://img.shields.io/badge/Hardware-ASIC%20LV06-green.svg)](https://github.com/Agnuxo1)\n[![Blockchain](https://img.shields.io/badge/Security-Blockchain-blue.svg)](https://github.com/Agnuxo1)\n\n> **Hardware-Accelerated Retrieval-Augmented Generation for Scalable Healthcare Blockchain in Resource-Constrained Environments**\n\n## Overview\n\nASIC-RAG-HEALTH validates the **Lucky Miner LV06** ASIC as a low-power replacement for GPU-based inference in rural and resource-constrained healthcare settings. The system combines a Retrieval-Augmented Generation (RAG) pipeline with ASIC-generated cryptographic attestations to create a privacy-preserving, energy-efficient medical AI platform.\n\nThe project demonstrates that repurposed Bitcoin mining hardware can power clinical AI workloads at a fraction of the energy cost of traditional GPU deployments — enabling healthcare blockchain nodes in areas without reliable power infrastructure.\n\n## Key Contributions\n\n- **ASIC as Healthcare Compute** — LV06 SHA-256 ASIC provides deterministic, low-power inference assistance\n- **Phase 2 Clinic Node Validation** — Rigorous benchmark of LV06 as a standalone clinic node\n- **Head-to-Head Benchmarks** — ASIC vs GPU power/performance comparison for healthcare workloads\n- **Ultimate Benchmark Suite** — Multi-scenario validation across clinic power, daily workload, and paper-grade testing\n- **Cryptographic Data Sovereignty** — Patient data integrity via ASIC-generated hash attestations\n\n## Experimental Results\n\n| Experiment | Description | Status |\n|-----------|-------------|--------|\n| Phase 2 Clinic Power | LV06 as primary clinic compute node | Validated |\n| Daily Workload | Sustained 8-hour clinical operation | Validated |\n| Paper Head-to-Head | Peer-review-grade ASIC vs GPU benchmark | Validated |\n| Ultimate Benchmark | Full multi-scenario validation suite | Complete |\n\n## Repository Structure\n\n```\nASIC-RAG-HEALTH/\n├── demo_full_medical_workflow.py # Full pipeline demonstration\n├── exp_phase2_01_clinic_power.py # Clinic power validation\n├── exp_phase2_02_daily_workload.py # Daily workload experiment\n├── exp_phase2_04_paper_head_to_head.py # ASIC vs GPU comparison\n├── exp_phase2_ULTIMATE_BENCHMARK.py # Complete benchmark suite\n├── medical_bridge.py # ASIC-medical interface layer\n├── health_config.py # Configuration\n├── ultimate_benchmark_results.json # Benchmark results\n├── GPU_VS_ASIC_COMPARISON.md # Performance analysis\n├── ASIC-RAG-HEALTH Validation.md # Full validation report\n├── README_PHASE_2.md # Phase 2 documentation\n├── PHASE_2_FIELD_REPORT.md # Field deployment report\n├── Experiment_v10/ # Version 10 experiments\n└── papers/\n └── ASIC_RAG_Healthcare_LLM_Paper.html # Research paper\n```\n\n## Installation\n\n```bash\ngit clone https://github.com/Agnuxo1/ASIC-RAG-HEALTH-Hardware-Accelerated-Healthcare-Intelligence\ncd ASIC-RAG-HEALTH-Hardware-Accelerated-Healthcare-Intelligence\n\npip install -r requirements.txt # or: pip install numpy requests flask\n```\n\n## Hardware Setup\n\n```bash\n# Phase 2: Connect Lucky Miner LV06 to your network\n# Edit health_config.py with your device IP\nLV06_IP = \"192.168.0.15\" # Change to your LV06 IP\n```\n\n## Usage\n\n```bash\n# Run full medical workflow demo\npython demo_full_medical_workflow.py\n\n# Run Phase 2 clinic power validation\npython exp_phase2_01_clinic_power.py\n\n# Run ultimate benchmark\npython exp_phase2_ULTIMATE_BENCHMARK.py\n\n# GPU vs ASIC head-to-head comparison\npython exp_phase2_04_paper_head_to_head.py\n```\n\n## Scientific Context\n\nThis work builds upon the ASIC-RAG-CHIMERA framework for holistic medical anomaly detection and extends it with:\n\n1. **Phase 2 validation** proving sustained clinic-level operation\n2. **Energy efficiency analysis** comparing ASIC vs GPU power consumption\n3. **Scalability projections** for rural healthcare blockchain deployment\n4. **Cryptographic data sovereignty** using ASIC hash attestations\n\n## Related Work\n\n- [ASIC-RAG Hardware-Accelerated Medical Anomaly Detection](https://github.com/Agnuxo1/ASIC-RAG-Hardware-Accelerated-Medical-Anomaly-Detection-and-Cryptographic-Data-Sovereignty)\n- [ASIC Anomaly Detection Complete System](https://github.com/Agnuxo1/ASIC-Anomaly-Detection-Complete-System)\n\n## Citation\n\n```bibtex\n@article{angulo2025asicraghealth,\n title={ASIC-RAG-HEALTH: Hardware-Accelerated Retrieval-Augmented Generation\n for Scalable Healthcare Blockchain in Resource-Constrained Environments},\n author={Angulo de Lafuente, Francisco},\n year={2025},\n u",
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"input": "Repositorio: Agnuxo1/autogen\nURL: https://github.com/Agnuxo1/autogen\nDescripción: A programming framework for agentic AI\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: CC-BY-4.0\nCreado: 2026-04-30T12:43:02Z\nActualizado: 2026-05-02T17:03:45Z\nREADME:\n<a name=\"readme-top\"></a>\n\n<div align=\"center\">\n<img src=\"https://microsoft.github.io/autogen/0.2/img/ag.svg\" alt=\"AutoGen Logo\" width=\"100\">\n\n[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/cloudposse.svg?style=social&label=Follow%20%40pyautogen)](https://twitter.com/pyautogen)\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-Company?style=flat&logo=linkedin&logoColor=white)](https://www.linkedin.com/company/105812540)\n[![Discord](https://img.shields.io/badge/discord-chat-green?logo=discord)](https://aka.ms/autogen-discord)\n[![Documentation](https://img.shields.io/badge/Documentation-AutoGen-blue?logo=read-the-docs)](https://microsoft.github.io/autogen/)\n[![Blog](https://img.shields.io/badge/Blog-AutoGen-blue?logo=blogger)](https://devblogs.microsoft.com/autogen/)\n\n</div>\n\n# AutoGen [![Maintenance Mode](https://img.shields.io/badge/status-maintenance%20mode-orange)](https://github.com/microsoft/agent-framework)\n\n**AutoGen** is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.\n\n> [!CAUTION]\n> **⚠️ Maintenance Mode**\n>\n> AutoGen is now in maintenance mode. It will not receive new features or enhancements and is community managed going forward.\n>\n> New users should start with [Microsoft Agent Framework](https://github.com/microsoft/agent-framework). Existing users are encouraged to migrate using the [AutoGen → Microsoft Agent Framework migration guide](https://learn.microsoft.com/en-us/agent-framework/migration-guide/from-autogen/).\n>\n> Microsoft Agent Framework (MAF) is the enterprise‑ready successor to AutoGen. Microsoft Agent FrameworkAF in now available as a production-ready release: stable APIs, and a commitment to long-term support. Whether you're building a single assistant or orchestrating a fleet of specialized agents, Microsoft Agent Framework 1.0 gives you enterprise-grade multi-agent orchestration, multi-provider model support, and cross-runtime interoperability via A2A and MCP.\n\n## Installation\n\nAutoGen requires **Python 3.10 or later**.\n\n```bash\n# Install AgentChat and OpenAI client from Extensions\npip install -U \"autogen-agentchat\" \"autogen-ext[openai]\"\n```\n\nThe current stable version can be found in the [releases](https://github.com/microsoft/autogen/releases). If you are upgrading from AutoGen v0.2, please refer to the [Migration Guide](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/migration-guide.html) for detailed instructions on how to update your code and configurations.\n\n```bash\n# Install AutoGen Studio for no-code GUI\npip install -U \"autogenstudio\"\n```\n\n## Quickstart\n\nThe following samples call OpenAI API, so you first need to create an account and export your key as `export OPENAI_API_KEY=\"sk-...\"`.\n\n### Hello World\n\nCreate an assistant agent using OpenAI's GPT-4o model. See [other supported models](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/tutorial/models.html).\n\n```python\nimport asyncio\nfrom autogen_agentchat.agents import AssistantAgent\nfrom autogen_ext.models.openai import OpenAIChatCompletionClient\n\nasync def main() -> None:\n model_client = OpenAIChatCompletionClient(model=\"gpt-4.1\")\n agent = AssistantAgent(\"assistant\", model_client=model_client)\n print(await agent.run(task=\"Say 'Hello World!'\"))\n await model_client.close()\n\nasyncio.run(main())\n```\n\n### MCP Server\n\nCreate a web browsing assistant agent that uses the Playwright MCP server.\n\n```python\n# First run `npm install -g @playwright/mcp@latest` to install the MCP server.\nimport asyncio\nfrom autogen_agentchat.agents import AssistantAgent\nfrom autogen_agentchat.ui import Console\nfrom autogen_ext.models.openai import OpenAIChatCompletionClient\nfrom autogen_ext.tools.mcp import McpWorkbench, StdioServerParams\n\n\nasync def main() -> None:\n model_client = OpenAIChatCompletionClient(model=\"gpt-4.1\")\n server_params = StdioServerParams(\n command=\"npx\",\n args=[\n \"@playwright/mcp@latest\",\n \"--headless\",\n ],\n )\n async with McpWorkbench(server_params) as mcp:\n agent = AssistantAgent(\n \"web_browsing_assistant\",\n model_client=model_client,\n workbench=mcp, # For multiple MCP servers, put them in a list.\n model_client_stream=True,\n max_tool_iterations=10,\n )\n await Console(agent.run_stream(task=\"Find out how many contributors for the microsoft/autogen repository\"))\n\n\nasyncio.run(main())\n```\n\n> **Warning**: Only connect to trusted MCP servers as they may execute commands\n> in your local environment or expose sensitive information.\n\n### Multi-Agent Orchestration\n\nYou can use `AgentTool` to create a basic multi-agent orchestration setup.\n\n```python\nimport asyncio\n\nfrom autogen_agentchat.agents import AssistantAgent\nfrom autogen_agentchat.tools import AgentTool\nfrom autogen_agentchat.ui import Console\nfrom autogen_ext.models.openai import OpenAIChatCompletionClient\n\n\nasync def main() -> None:\n model_client = OpenAIChatCompletionClient(model=\"gpt-4.1\")\n\n math_agent = AssistantAgent(\n \"math_expert\",\n model_client=model_client,\n system_message=\"You are a math expert.\",\n description=\"A math expert assistant.\",\n model_client_stream=True,\n )\n math_agent_tool = AgentTool(math_agent, return_value_as_last_message=True)\n\n chemistry_agent = AssistantAgent(\n \"chemistry_expert\",\n model_client=model_client,\n system_message=\"You are a chemistry expert.\",\n description=\"A chemistry expert assistant.\",\n model_client_stream=True,\n )\n chemistry_agent_tool = AgentTool(chemistry_agent, return_value_as_last_message=True)\n\n agent = AssistantAgent(\n \"assistant\",\n system_message=\"You are a general assistant. Use expert tools when needed.\",\n model_client=model_client,\n model_client_stream=True,\n tools=[math_agent_tool, chemistry_agent_tool],\n max_tool_iterations=10,\n )\n await Console(agent.run_stream(task=\"What is the integral of x^2?\"))\n await Console(agent.run_stream(task=\"What is the molecular weight of water?\"))\n\n\nasyncio.run(main())\n```\n\nFor more advanced multi-agent orchestrations and workflows, read\n[AgentChat documentation](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/index.html).\n\n### AutoGen Studio\n\nUse AutoGen Studio to prototype and run multi-agent workflows without writing code.\n\n> **Caution**: AutoGen Studio is meant to help you rapidly prototype multi-agent workflows and\n> demonstrate an example of end user interfaces built with AutoGen. It is **not meant to be a\n> production-ready app**. Developers are encouraged to use the AutoGen framework to build their own\n> applications, implementing authentication, security and other features required for deployed\n> applications. See the [security note](https://microsoft.github.io/autogen/dev/user-guide/autogenstudio-user-guide/index.html#a-note-on-security) for more details.\n\n```bash\n# Run AutoGen Studio on http://localhost:8080\nautogenstudio ui --port 8080 --appdir ./my-app\n```\n\n## Why AutoGen?\n\n<div align=\"center\">\n <img src=\"autogen-landing.jpg\" alt=\"AutoGen Landing\" width=\"500\">\n</div>\n\nPioneered in Microsoft Research, AutoGen opened the door to experimental multi-agent orchestration patterns that inspired the community. While AutoGen is now in maintenance mode, existing users can continue to use the framework with the architecture described below. **For new projects, we recommend [Microsoft Agent Framework](https://github.com/microsoft/agent-framework)**, which builds on the lessons learned from AutoGen with enterprise-grade support.\n\nThe autogen _framework_ uses a layered and extensible design. Layers have clearly divided responsibilities and build on top of layers below. This design enables you to use the framework at different levels of abstraction, from high-level APIs to low-level components.\n\n- [Core API](./python/packages/autogen-core/) implements message passing, event-driven agents, and local and distributed runtime for flexibility and power. It also support cross-language support for .NET and Python.\n- [AgentChat API](./python/packages/autogen-agentchat/) implements a simpler but opinionated API for rapid prototyping. This API is built on top of the Core API and is closest to what users of v0.2 are familiar with and supports common multi-agent patterns such as two-agent chat or group chats.\n- [Extensions API](./python/packages/autogen-ext/) enables first- and third-party extensions continuously expanding framework capabilities. It support specific implementation of LLM clients (e.g., OpenAI, AzureOpenAI), and capabilities such as code execution.\n\nThe ecosystem also supports two essential _developer tools_:\n\n<div align=\"center\">\n <img src=\"https://media.githubusercontent.com/media/microsoft/autogen/refs/heads/main/python/packages/autogen-studio/docs/ags_screen.png\" alt=\"AutoGen Studio Screenshot\" width=\"500\">\n</div>\n\n- [AutoGen Studio](./python/packages/autogen-studio/) provides a no-code GUI for building multi-agent applications.\n- [AutoGen Bench](./python/packages/agbench/) provides a benchmarking suite for evaluating agent performance.\n\nYou can use the AutoGen framework and developer tools to create applications for your domain. For example, [Magentic-One](./python/packages/magentic-one-cli/) is a state-of-the-art multi-agent team built using AgentChat API and Extensions API that can handle a variety of tasks that require web browsing, code execution, and file handling.\n\nFor community support, visit our [Discord server](https://aka.ms/autogen-discord) or [GitHub Discussions](https://github.com/microsoft/autogen/discussions). Note that AutoGen is now community-managed and responses may be limited.\n\n## Where to go next?\n\n> **Starting a new project?** Head to [Microsoft Agent Framework](https://github.com/microsoft/agent-framework) for the latest multi-agent",
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Licencia: CC-BY-4.0. <a name=\"readme-top\"></a>\n\n<div align=\"center\">\n<img src=\"https://microsoft.github.io/autogen/0.2/img/ag.svg\" alt=\"AutoGen Logo\" width=\"100\">\n\n[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/cloudposse.svg?style=social&label=Follow%20%40pyautogen)](https://twitter.com/pyautogen)\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-Company?style=flat&logo=linkedin&logoColor=white)](https://www.linkedin.com/company/105812540)\n[![Discord](https://img.shields.io/badge/discord-chat-green?logo=discord)](https://aka.ms/autogen-discord)\n[![Documentation](https://img.shields.io/badge/Documentation-AutoGen-blue?logo=read-the-docs)](https://microsoft.github.io/autogen/)\n[![Blog](https://img.shields.io/badge/Blog-AutoGen-blue?logo=blogger)](https://devblogs.microsoft.com/autogen/)\n\n</div>\n\n# AutoGen [![Maintenance Mode](https://img.shields.io/badge/status-maintenance%20mode-orange)](https://github.com/microsoft/agent-framework)\n\n**AutoGen** is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.\n\n> [!CAUTION]\n> **⚠️ Maintenance Mode**\n>\n> AutoGen is now in maintenance mode. It will not receive new features or enhancements and is community managed going forward.\n>\n> New users should start with [Microsoft Agent Framework](https://github.com/microsoft/agent-framework). Existing users are encouraged to migrate using the [AutoGen → Microsoft Agent Framework migration guide](https://learn.microsoft.com/en-us/agent-framework/migration-guide/from-autogen/).\n>\n> Microsoft Agent Framework (MAF) is the enterprise‑ready successor to AutoGen. Microsoft Agent FrameworkAF in now available as a production-ready release: stable APIs, and a commitment to long-term support. Whether you're building a single assistant or orchestrating a fleet of specialized agents, Microsoft Agent Framework 1.0 gives you enterprise-grade multi-agent orchestration, multi-provider model support, and cross-runtime interoperability via A2A and MCP.\n\n## Installation\n\nAutoGen requires **Python 3.10 or later**.\n\n```bash\n# Install AgentChat and OpenAI client from Extensions\npip install -U \"autogen-agentchat\" \"autogen-ext[openai]\"\n```\n\nThe current stable version can be found in the [releases](https://github.com/microsoft/autogen/releases). If you are upgrading from AutoGen v0.2, please refer to the [Migration Guide](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/migration-guide.html) for detailed instructions on how to update your code and configurations.\n\n```bash\n# Install AutoGen Studio for no-code GUI\npip install -U \"autogenstudio\"\n```\n\n## Quickstart\n\nThe following samples call OpenAI API, so you first need to create an account and export your key as `export OPENAI_API_KEY=\"sk-...\"`.\n\n### Hello World\n\nCreate an assistant agent using OpenAI's GPT-4o model. See [other supported models](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/tutorial/models.html).\n\n```python\nimport asyncio\nfrom autogen_agentchat.agents import AssistantAgent\nfrom autogen_ext.models.openai import OpenAIChatCompletionClient\n\nasync def main() -> None:\n model_client = OpenAIChatCompletionClient(model=\"gpt-4.1\")\n agent = AssistantAgent(\"assistant\", model_client=model_client)\n print(await agent.run(task=\"Say 'Hello World!'\"))\n await model_client.close()\n\nasyncio.run(main())\n```\n\n### MCP Server\n\nCreate a web browsing assistant agent that uses the Playwright MCP server.\n\n```python\n# First run `npm install -g @playwright/mcp@latest` to install the MCP server.\nimport asyncio\nfrom autogen_agentchat.agents import AssistantAgent\nfrom autogen_agentchat.ui import Console\nfrom autogen_ext.models.openai import OpenAIChatCompletionClient\nfrom autogen_ext.tools.mcp import McpWorkbench, StdioServerParams\n\n\nasync def main() -> None:\n model_client = OpenAIChatCompletionClient(model=\"gpt-4.1\")\n server_params = StdioServerParams(\n command=\"npx\",\n args=[\n \"@playwright/mcp@latest\",\n \"--headless\",\n ],\n )\n async with McpWorkbench(server_params) as mcp:\n agent = AssistantAgent(\n \"web_browsing_assistant\",\n model_client=model_client,\n workbench=mcp, # For multiple MCP servers, put them in a list.\n model_client_stream=True,\n max_tool_iterations=10,\n )\n await Console(agent.run_stream(task=\"Find out how many contributors for the microsoft/autogen repository\"))\n\n\nasyncio.run(main())\n```\n\n> **Warning**: Only connect to trusted MCP servers as they may execute commands\n> in your local environment or expose sensitive information.\n\n### Multi-Agent Orchestration\n\nYou can use `AgentTool` to create a basic multi-agent orchestration setup.\n\n```python\nimport asyncio\n\nfrom autogen_agentchat.agents import AssistantAgent\nfrom autogen_agentchat.tools import AgentTool\nfrom autogen_agentchat.ui import Console\nfrom autogen_ext.models.openai import OpenAIChatCompletionClient\n\n\nasync",
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"input": "Repositorio: Agnuxo1/AutoGPT\nURL: https://github.com/Agnuxo1/AutoGPT\nDescripción: AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-04-30T12:43:18Z\nActualizado: 2026-05-02T17:03:47Z\nREADME:\n# AutoGPT: Build, Deploy, and Run AI Agents\n\n[![Discord Follow](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fautogpt%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&label=total%20members&logo=discord&logoColor=white&color=7289da)](https://discord.gg/autogpt) &ensp;\n[![Twitter Follow](https://img.shields.io/twitter/follow/Auto_GPT?style=social)](https://twitter.com/Auto_GPT) &ensp;\n\n<!-- Keep these links. Translations will automatically update with the README. -->\n[Deutsch](https://zdoc.app/de/Significant-Gravitas/AutoGPT) | \n[Español](https://zdoc.app/es/Significant-Gravitas/AutoGPT) | \n[français](https://zdoc.app/fr/Significant-Gravitas/AutoGPT) | \n[日本語](https://zdoc.app/ja/Significant-Gravitas/AutoGPT) | \n[한국어](https://zdoc.app/ko/Significant-Gravitas/AutoGPT) | \n[Português](https://zdoc.app/pt/Significant-Gravitas/AutoGPT) | \n[Русский](https://zdoc.app/ru/Significant-Gravitas/AutoGPT) | \n[中文](https://zdoc.app/zh/Significant-Gravitas/AutoGPT)\n\n**AutoGPT** is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows. \n\n## Hosting Options \n - Download to self-host (Free!)\n - [Join the Waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta (Closed Beta - Public release Coming Soon!)\n\n## How to Self-Host the AutoGPT Platform\n> [!NOTE]\n> Setting up and hosting the AutoGPT Platform yourself is a technical process. \n> If you'd rather something that just works, we recommend [joining the waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta.\n\n### System Requirements\n\nBefore proceeding with the installation, ensure your system meets the following requirements:\n\n#### Hardware Requirements\n- CPU: 4+ cores recommended\n- RAM: Minimum 8GB, 16GB recommended\n- Storage: At least 10GB of free space\n\n#### Software Requirements\n- Operating Systems:\n - Linux (Ubuntu 20.04 or newer recommended)\n - macOS (10.15 or newer)\n - Windows 10/11 with WSL2\n- Required Software (with minimum versions):\n - Docker Engine (20.10.0 or newer)\n - Docker Compose (2.0.0 or newer)\n - Git (2.30 or newer)\n - Node.js (16.x or newer)\n - npm (8.x or newer)\n - VSCode (1.60 or newer) or any modern code editor\n\n#### Network Requirements\n- Stable internet connection\n- Access to required ports (will be configured in Docker)\n- Ability to make outbound HTTPS connections\n\n### Updated Setup Instructions:\nWe've moved to a fully maintained and regularly updated documentation site.\n\n👉 [Follow the official self-hosting guide here](https://agpt.co/docs/platform/getting-started/getting-started)\n\n\nThis tutorial assumes you have Docker, VSCode, git and npm installed.\n\n---\n\n#### ⚡ Quick Setup with One-Line Script (Recommended for Local Hosting)\n\nSkip the manual steps and get started in minutes using our automatic setup script.\n\nFor macOS/Linux:\n```\ncurl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh\n```\n\nFor Windows (PowerShell):\n```\npowershell -c \"iwr https://setup.agpt.co/install.bat -o install.bat; ./install.bat\"\n```\n\nThis will install dependencies, configure Docker, and launch your local instance — all in one go.\n\n### 🧱 AutoGPT Frontend\n\nThe AutoGPT frontend is where users interact with our powerful AI automation platform. It offers multiple ways to engage with and leverage our AI agents. This is the interface where you'll bring your AI automation ideas to life:\n\n **Agent Builder:** For those who want to customize, our intuitive, low-code interface allows you to design and configure your own AI agents. \n \n **Workflow Management:** Build, modify, and optimize your automation workflows with ease. You build your agent by connecting blocks, where each block performs a single action.\n \n **Deployment Controls:** Manage the lifecycle of your agents, from testing to production.\n \n **Ready-to-Use Agents:** Don't want to build? Simply select from our library of pre-configured agents and put them to work immediately.\n \n **Agent Interaction:** Whether you've built your own or are using pre-configured agents, easily run and interact with them through our user-friendly interface.\n\n **Monitoring and Analytics:** Keep track of your agents' performance and gain insights to continually improve your automation processes.\n\n[Read this guide](https://docs.agpt.co/platform/new_blocks/) to learn how to build your own custom blocks.\n\n### 💽 AutoGPT Server\n\nThe AutoGPT Server is the powerhouse of our platform This is where your agents run. Once deployed, agents can be triggered by external sources and can operate continuously. It contains all the essential components that make AutoGPT run smoothly.\n\n **Source Code:** The core logic that drives our agents and automation processes.\n \n **Infrastructure:** Robust systems that ensure reliable and scalable performance.\n \n **Marketplace:** A comprehensive marketplace where you can find and deploy a wide range of pre-built agents.\n\n### 🐙 Example Agents\n\nHere are two examples of what you can do with AutoGPT:\n\n1. **Generate Viral Videos from Trending Topics**\n - This agent reads topics on Reddit.\n - It identifies trending topics.\n - It then automatically creates a short-form video based on the content. \n\n2. **Identify Top Quotes from Videos for Social Media**\n - This agent subscribes to your YouTube channel.\n - When you post a new video, it transcribes it.\n - It uses AI to identify the most impactful quotes to generate a summary.\n - Then, it writes a post to automatically publish to your social media. \n\nThese examples show just a glimpse of what you can achieve with AutoGPT! You can create customized workflows to build agents for any use case.\n\n---\n\n### **License Overview:**\n\n🛡️ **Polyform Shield License:**\nAll code and content within the `autogpt_platform` folder is licensed under the Polyform Shield License. This new project is our in-developlemt platform for building, deploying and managing agents.</br>_[Read more about this effort](https://agpt.co/blog/introducing-the-autogpt-platform)_\n\n🦉 **MIT License:**\nAll other portions of the AutoGPT repository (i.e., everything outside the `autogpt_platform` folder) are licensed under the MIT License. This includes the original stand-alone AutoGPT Agent, along with projects such as [Forge](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge), [agbenchmark](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark) and the [AutoGPT Classic GUI](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend).</br>We also publish additional work under the MIT Licence in other repositories, such as [GravitasML](https://github.com/Significant-Gravitas/gravitasml) which is developed for and used in the AutoGPT Platform. See also our MIT Licenced [Code Ability](https://github.com/Significant-Gravitas/AutoGPT-Code-Ability) project.\n\n---\n### Mission\nOur mission is to provide the tools, so that you can focus on what matters:\n\n- 🏗️ **Building** - Lay the foundation for something amazing.\n- 🧪 **Testing** - Fine-tune your agent to perfection.\n- 🤝 **Delegating** - Let AI work for you, and have your ideas come to life.\n\nBe part of the revolution! **AutoGPT** is here to stay, at the forefront of AI innovation.\n\n**📖 [Documentation](https://docs.agpt.co)**\n&ensp;|&ensp;\n**🚀 [Contributing](CONTRIBUTING.md)**\n\n---\n## 🤖 AutoGPT Classic\n> Below is information about the classic version of AutoGPT.\n\n**🛠️ [Build your own Agent - Quickstart](classic/FORGE-QUICKSTART.md)**\n\n### 🏗️ Forge\n\n**Forge your own agent!** &ndash; Forge is a ready-to-go toolkit to build your own agent application. It handles most of the boilerplate code, letting you channel all your creativity into the things that set *your* agent apart. All tutorials are located [here](https://medium.com/@aiedge/autogpt-forge-e3de53cc58ec). Components from [`forge`](/classic/forge/) can also be used individually to speed up development and reduce boilerplate in your agent project.\n\n🚀 [**Getting Started with Forge**](https://github.com/Significant-Gravitas/AutoGPT/blob/master/classic/forge/tutorials/001_getting_started.md) &ndash;\nThis guide will walk you through the process of creating your own agent and using the benchmark and user interface.\n\n📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge) about Forge\n\n### 🎯 Benchmark\n\n**Measure your agent's performance!** The `agbenchmark` can be used with any agent that supports the agent protocol, and the integration with the project's [CLI] makes it even easier to use with AutoGPT and forge-based agents. The benchmark offers a stringent testing environment. Our framework allows for autonomous, objective performance evaluations, ensuring your agents are primed for real-world action.\n\n<!-- TODO: insert visual demonstrating the benchmark -->\n\n📦 [`agbenchmark`](https://pypi.org/project/agbenchmark/) on Pypi\n&ensp;|&ensp;\n📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark) about the Benchmark\n\n### 💻 UI\n\n**Makes agents easy to use!** The `frontend` gives you a user-friendly interface to control and monitor your agents. It connects to agents through the [agent protocol](#-agent-protocol), ensuring compatibility with many agents from both inside and outside of our ecosystem.\n\n<!-- TODO: insert screenshot of front end -->\n\nThe frontend works out-of-the-box with all agents in the repo. Just use the [CLI] to run your agent of choice!\n\n📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend) about the Frontend\n\n### ⌨️ CLI\n\n[CLI]: #-cli\n\nTo make it as easy as possible to use all of the tools offered by the repository, a CLI is included at the root of the repo:\n\n```shell\n$ ./run\nUsage: cli.py [OPTIONS] COMMAND [ARGS]...\n\nOptions:\n --help Show this message and exit.\n\nCommands:\n agent Commands to create, start and stop agents\n benchmark Commands to start the benchmark an",
"output": "AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.. Repositorio Agnuxo1/AutoGPT por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: NOASSERTION. # AutoGPT: Build, Deploy, and Run AI Agents\n\n[![Discord Follow](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fautogpt%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&label=total%20members&logo=discord&logoColor=white&color=7289da)](https://discord.gg/autogpt) &ensp;\n[![Twitter Follow](https://img.shields.io/twitter/follow/Auto_GPT?style=social)](https://twitter.com/Auto_GPT) &ensp;\n\n<!-- Keep these links. Translations will automatically update with the README. -->\n[Deutsch](https://zdoc.app/de/Significant-Gravitas/AutoGPT) | \n[Español](https://zdoc.app/es/Significant-Gravitas/AutoGPT) | \n[français](https://zdoc.app/fr/Significant-Gravitas/AutoGPT) | \n[日本語](https://zdoc.app/ja/Significant-Gravitas/AutoGPT) | \n[한국어](https://zdoc.app/ko/Significant-Gravitas/AutoGPT) | \n[Português](https://zdoc.app/pt/Significant-Gravitas/AutoGPT) | \n[Русский](https://zdoc.app/ru/Significant-Gravitas/AutoGPT) | \n[中文](https://zdoc.app/zh/Significant-Gravitas/AutoGPT)\n\n**AutoGPT** is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows. \n\n## Hosting Options \n - Download to self-host (Free!)\n - [Join the Waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta (Closed Beta - Public release Coming Soon!)\n\n## How to Self-Host the AutoGPT Platform\n> [!NOTE]\n> Setting up and hosting the AutoGPT Platform yourself is a technical process. \n> If you'd rather something that just works, we recommend [joining the waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta.\n\n### System Requirements\n\nBefore proceeding with the installation, ensure your system meets the following requirements:\n\n#### Hardware Requirements\n- CPU: 4+ cores recommended\n- RAM: Minimum 8GB, 16GB recommended\n- Storage: At least 10GB of free space\n\n#### Software Requirements\n- Operating Systems:\n - Linux (Ubuntu 20.04 or newer recommended)\n - macOS (10.15 or newer)\n - Windows 10/11 with WSL2\n- Required Software (with minimum versions):\n - Docker Engine (20.10.0 or newer)\n - Docker Compose (2.0.0 or newer)\n - Git (2.30 or newer)\n - Node.js (16.x or newer)\n - npm (8.x or newer)\n - VSCode (1.60 or newer) or any modern code editor\n\n#### Network Requirements\n- Stable internet connection\n- Access to required ports (will be configured in Docker)\n- Ability to make outbound HTTPS connections\n\n### Updated Setup Instructions:\nWe've moved to a fully maintained and regularly updated documentation site.\n\n👉 [Follow the official self-hosting guide here](https://agpt.co/docs/platform/getting-started/getting-started)\n\n\nThis tutorial assumes you have Docker, VSCode, git and npm installed.\n\n---\n\n#### ⚡ Quick Setup with One-Line Script (Recommended for Local Hosting)\n\nSkip the manual steps and get started in minutes using our automatic setup script.\n\nFor macOS/Linux:\n```\ncurl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh\n```\n\nFor Windows (PowerShell):\n```\npowershell -c \"iwr https://setup.agpt.co/install.bat -o install.bat; ./install.bat\"\n```\n\nThis will install dependencies, configure Docker, and launch your local instance — all in one go.\n\n### 🧱 AutoGPT Frontend\n\nThe AutoGPT frontend is where users interact with our powerful AI automation platform. It offers multiple ways to engage with and leverage our AI agents. This is the interface where you'll bring your AI automation ideas to life:\n\n **Agent Builder:** For those who want to customize, our intuitive, low-code interface allows you to design and configure your own AI agents. \n \n **Workflow Management:** Build, modify, and optimize your automation workflows with ease. You build your agent by connecting blocks, where each block performs a single action.\n \n **Deployment Controls:** Manage the lifecycle of your agents, from testing to production.\n \n **Ready-to-Use Agents:** Don't want to build? Simply select from our library of pre-configured agents and put them to work immediately.\n \n **Agent Interaction:** Whether you've built your own or are using pre-configured agents, easily run and interact with them through our user-friendly interface.\n\n **Monitoring and Analytics:** Keep track of your agents' performance and gain insights to continually improve your automation processes.\n\n[Read this guide](https://docs.agpt.co/platform/new_blocks/) to learn how to build your own custom blocks.\n\n### 💽 AutoGPT Server\n\nThe AutoGPT Server is the powerhouse of our platform This is where your agents run. Once deployed, agents can be triggered by external sources and can operate continuously. It contains all the essential components that make AutoGPT run smoothly.\n\n **Source Code:** The core logic that drives our agents and automation processes.\n \n **Infrastructure:** Robust systems that ensure reliable and scalable performance.\n \n **Marketplace:** A comprehensive marketplace where you can find and deploy a wide range of pre-built agents.\n\n### 🐙 Example Agents\n\nHere are",
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"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-ai-agents-2025",
"input": "Repositorio: Agnuxo1/awesome-ai-agents-2025\nURL: https://github.com/Agnuxo1/awesome-ai-agents-2025\nDescripción: Complete directory of AI agents, frameworks, platforms, and tools — March 2026 Edition. Covers 100+ tools across coding agents, multi-agent patterns, MCP/A2A protocols, memory, observability, security\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-04-30T07:59:24Z\nActualizado: 2026-04-30T07:59:24Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Complete directory of AI agents, frameworks, platforms, and tools — March 2026 Edition. Covers 100+ tools across coding agents, multi-agent patterns, MCP/A2A protocols, memory, observability, security. Repositorio Agnuxo1/awesome-ai-agents-2025 por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: NOASSERTION. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-ai-agents-2025",
"repo_url": "https://github.com/Agnuxo1/awesome-ai-agents-2025",
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"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-ai-agents-2026",
"input": "Repositorio: Agnuxo1/awesome-ai-agents-2026\nURL: https://github.com/Agnuxo1/awesome-ai-agents-2026\nDescripción: 🤖 A curated list of AI Agent frameworks, tools, platforms, and resources for 2026 — the year agents went mainstream\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: MIT\nCreado: 2026-04-30T07:59:25Z\nActualizado: 2026-05-09T18:04:06Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "🤖 A curated list of AI Agent frameworks, tools, platforms, and resources for 2026 — the year agents went mainstream. Repositorio Agnuxo1/awesome-ai-agents-2026 por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-ai-agents-2026",
"repo_url": "https://github.com/Agnuxo1/awesome-ai-agents-2026",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
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"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-ai-agents-2026-fork",
"input": "Repositorio: Agnuxo1/awesome-ai-agents-2026-fork\nURL: https://github.com/Agnuxo1/awesome-ai-agents-2026-fork\nDescripción: Awesome AI Agents for 2026 - 300+ AI Agents, Frameworks & Coding • Creative • Voice • Research • Enterprise. Comparison guides, benchmarks & deep dives\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-05-08T06:38:18Z\nActualizado: 2026-05-09T17:48:42Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Awesome AI Agents for 2026 - 300+ AI Agents, Frameworks & Coding • Creative • Voice • Research • Enterprise. Comparison guides, benchmarks & deep dives. Repositorio Agnuxo1/awesome-ai-agents-2026-fork por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: NOASSERTION. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-ai-agents-2026-fork",
"repo_url": "https://github.com/Agnuxo1/awesome-ai-agents-2026-fork",
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"input": "Repositorio: Agnuxo1/awesome-ai-benchmarks\nURL: https://github.com/Agnuxo1/awesome-ai-benchmarks\nDescripción: Awesome AI Benchmarks\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: Apache-2.0\nCreado: 2026-05-08T13:07:55Z\nActualizado: 2026-05-08T13:07:55Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Awesome AI Benchmarks. Repositorio Agnuxo1/awesome-ai-benchmarks por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: Apache-2.0. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-ai-benchmarks",
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"instruction": "Describe el repositorio de GitHub: Agnuxo1/Awesome-AI-for-cybersecurity",
"input": "Repositorio: Agnuxo1/Awesome-AI-for-cybersecurity\nURL: https://github.com/Agnuxo1/Awesome-AI-for-cybersecurity\nDescripción: Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), application (WAF or database firewalls), user (UBA), process behavio\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-10T08:57:06Z\nActualizado: 2026-05-10T08:57:06Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), application (WAF or database firewalls), user (UBA), process behavio. Repositorio Agnuxo1/Awesome-AI-for-cybersecurity por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/Awesome-AI-for-cybersecurity",
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"author": "Francisco Angulo de Lafuente (Agnuxo1)",
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"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-ai-for-science",
"input": "Repositorio: Agnuxo1/awesome-ai-for-science\nURL: https://github.com/Agnuxo1/awesome-ai-for-science\nDescripción: A curated list of awesome AI tools, libraries, papers, datasets, and frameworks that accelerate scientific discovery — from physics and chemistry to biology, materials, and beyond.\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: MIT\nCreado: 2026-04-30T07:59:22Z\nActualizado: 2026-04-30T07:59:22Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "A curated list of awesome AI tools, libraries, papers, datasets, and frameworks that accelerate scientific discovery — from physics and chemistry to biology, materials, and beyond.. Repositorio Agnuxo1/awesome-ai-for-science por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-ai-for-science",
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"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-04-30T07:59:22Z",
"updated_at": "2026-04-30T07:59:22Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "cf7e098c5723dc6ec9d1432633a89913",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-ai-testing",
"input": "Repositorio: Agnuxo1/awesome-ai-testing\nURL: https://github.com/Agnuxo1/awesome-ai-testing\nDescripción: A curated list of AI-powered testing tools, frameworks, and resources for QA engineers. From test generation to self-healing automation, MCP-based testing, LLM evaluation, and more.\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: CC0-1.0\nCreado: 2026-05-10T08:57:05Z\nActualizado: 2026-05-10T08:57:05Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "A curated list of AI-powered testing tools, frameworks, and resources for QA engineers. From test generation to self-healing automation, MCP-based testing, LLM evaluation, and more.. Repositorio Agnuxo1/awesome-ai-testing por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: CC0-1.0. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-ai-testing",
"repo_url": "https://github.com/Agnuxo1/awesome-ai-testing",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-10T08:57:05Z",
"updated_at": "2026-05-10T08:57:05Z",
"license": "CC0-1.0",
"metadata_source": "github_api"
},
{
"id": "cf792f4653de3e4ecc297ac933e8422a",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-ai-tools",
"input": "Repositorio: Agnuxo1/awesome-ai-tools\nURL: https://github.com/Agnuxo1/awesome-ai-tools\nDescripción: 🔴 VERY LARGE AI TOOL LIST! 🔴 Curated list of AI Tools - Updated 2026\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: CC0-1.0\nCreado: 2026-05-06T15:54:12Z\nActualizado: 2026-05-10T09:25:45Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "🔴 VERY LARGE AI TOOL LIST! 🔴 Curated list of AI Tools - Updated 2026. Repositorio Agnuxo1/awesome-ai-tools por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: CC0-1.0. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-ai-tools",
"repo_url": "https://github.com/Agnuxo1/awesome-ai-tools",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-06T15:54:12Z",
"updated_at": "2026-05-10T09:25:45Z",
"license": "CC0-1.0",
"metadata_source": "github_api"
},
{
"id": "1da5c04da421e57676ae78eb155f217c",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-ai-tools-1",
"input": "Repositorio: Agnuxo1/awesome-ai-tools-1\nURL: https://github.com/Agnuxo1/awesome-ai-tools-1\nDescripción: A curated, categorized reference of AI-powered coding tools. Covers full IDEs, editor extensions, terminal agents, autonomous agents, browser-based builders, and code review platforms.\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-10T09:22:15Z\nActualizado: 2026-05-10T09:22:15Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "A curated, categorized reference of AI-powered coding tools. Covers full IDEs, editor extensions, terminal agents, autonomous agents, browser-based builders, and code review platforms.. Repositorio Agnuxo1/awesome-ai-tools-1 por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-ai-tools-1",
"repo_url": "https://github.com/Agnuxo1/awesome-ai-tools-1",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-10T09:22:15Z",
"updated_at": "2026-05-10T09:22:15Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "842aeccd7ba36a4db801bfb3902db090",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/Awesome-Colorful-LLM",
"input": "Repositorio: Agnuxo1/Awesome-Colorful-LLM\nURL: https://github.com/Agnuxo1/Awesome-Colorful-LLM\nDescripción: Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, Fundamental Sciences such as Mathematics, and Ominous.\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: MIT\nCreado: 2026-05-06T20:22:31Z\nActualizado: 2026-05-06T20:23:30Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, Fundamental Sciences such as Mathematics, and Ominous.. Repositorio Agnuxo1/Awesome-Colorful-LLM por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/Awesome-Colorful-LLM",
"repo_url": "https://github.com/Agnuxo1/Awesome-Colorful-LLM",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-06T20:22:31Z",
"updated_at": "2026-05-06T20:23:30Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "d7b94ec019b44195ac8b517b98c8226f",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-datascience-fork",
"input": "Repositorio: Agnuxo1/awesome-datascience-fork\nURL: https://github.com/Agnuxo1/awesome-datascience-fork\nDescripción: :memo: An awesome Data Science repository to learn and apply for real world problems.\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: MIT\nCreado: 2026-05-08T07:02:38Z\nActualizado: 2026-05-08T07:02:38Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": ":memo: An awesome Data Science repository to learn and apply for real world problems.. Repositorio Agnuxo1/awesome-datascience-fork por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-datascience-fork",
"repo_url": "https://github.com/Agnuxo1/awesome-datascience-fork",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-08T07:02:38Z",
"updated_at": "2026-05-08T07:02:38Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "2066b0b84f3a9186c07bc0a7d8b20c70",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-decentralized-web",
"input": "Repositorio: Agnuxo1/awesome-decentralized-web\nURL: https://github.com/Agnuxo1/awesome-decentralized-web\nDescripción: an awesome list of decentralized services and technologies\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-08T20:15:52Z\nActualizado: 2026-05-08T20:16:50Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "an awesome list of decentralized services and technologies. Repositorio Agnuxo1/awesome-decentralized-web por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-decentralized-web",
"repo_url": "https://github.com/Agnuxo1/awesome-decentralized-web",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-08T20:15:52Z",
"updated_at": "2026-05-08T20:16:50Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "b34a395780715e4db5415cbff0bd5873",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-mcp-servers",
"input": "Repositorio: Agnuxo1/awesome-mcp-servers\nURL: https://github.com/Agnuxo1/awesome-mcp-servers\nDescripción: A curated list of Model Context Protocol (MCP) servers\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: MIT\nCreado: 2026-05-08T09:07:15Z\nActualizado: 2026-05-08T09:07:15Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "A curated list of Model Context Protocol (MCP) servers. Repositorio Agnuxo1/awesome-mcp-servers por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-mcp-servers",
"repo_url": "https://github.com/Agnuxo1/awesome-mcp-servers",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-08T09:07:15Z",
"updated_at": "2026-05-08T09:07:15Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "8f8dde6cf713a490c3b130d93f7476ab",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-p2p-networks",
"input": "Repositorio: Agnuxo1/awesome-p2p-networks\nURL: https://github.com/Agnuxo1/awesome-p2p-networks\nDescripción: A curated list of awesome resources, tools, protocols, and educational content related to Peer-to-Peer (P2P) Networks. P2P networks are decentralized architectures that enable nodes to connect directl\nLenguaje: Python\nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-06T09:57:04Z\nActualizado: 2026-05-06T09:59:34Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "A curated list of awesome resources, tools, protocols, and educational content related to Peer-to-Peer (P2P) Networks. P2P networks are decentralized architectures that enable nodes to connect directl. Repositorio Agnuxo1/awesome-p2p-networks por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-p2p-networks",
"repo_url": "https://github.com/Agnuxo1/awesome-p2p-networks",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 0,
"forks": 0,
"created_at": "2026-05-06T09:57:04Z",
"updated_at": "2026-05-06T09:59:34Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "9c0a8569a0563e41e6a179aa622ebd03",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-python-p2pclaw",
"input": "Repositorio: Agnuxo1/awesome-python-p2pclaw\nURL: https://github.com/Agnuxo1/awesome-python-p2pclaw\nDescripción: An opinionated list of Python frameworks, libraries, tools, and resources\nLenguaje: Python\nEstrellas: 0\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-05-03T13:39:34Z\nActualizado: 2026-05-03T13:42:21Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "An opinionated list of Python frameworks, libraries, tools, and resources. Repositorio Agnuxo1/awesome-python-p2pclaw por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: NOASSERTION. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-python-p2pclaw",
"repo_url": "https://github.com/Agnuxo1/awesome-python-p2pclaw",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 0,
"forks": 0,
"created_at": "2026-05-03T13:39:34Z",
"updated_at": "2026-05-03T13:42:21Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "5e11e6910944ff893e3909bf00499f78",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-research-agents-fork",
"input": "Repositorio: Agnuxo1/awesome-research-agents-fork\nURL: https://github.com/Agnuxo1/awesome-research-agents-fork\nDescripción: 🤖️ A collection of papers, blogs and projects of research agents.\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-09T17:43:52Z\nActualizado: 2026-05-09T17:45:43Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "🤖️ A collection of papers, blogs and projects of research agents.. Repositorio Agnuxo1/awesome-research-agents-fork por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-research-agents-fork",
"repo_url": "https://github.com/Agnuxo1/awesome-research-agents-fork",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-09T17:43:52Z",
"updated_at": "2026-05-09T17:45:43Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "92a5852dfadd883c0538701d3cb71225",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome-selfhosted",
"input": "Repositorio: Agnuxo1/awesome-selfhosted\nURL: https://github.com/Agnuxo1/awesome-selfhosted\nDescripción: A list of Free Software network services and web applications which can be hosted on your own servers\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-05-08T10:54:45Z\nActualizado: 2026-05-08T10:54:45Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "A list of Free Software network services and web applications which can be hosted on your own servers. Repositorio Agnuxo1/awesome-selfhosted por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: NOASSERTION. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome-selfhosted",
"repo_url": "https://github.com/Agnuxo1/awesome-selfhosted",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-08T10:54:45Z",
"updated_at": "2026-05-08T10:54:45Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "ec27f37d114725386b46c022e19afb0d",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/awesome_ai_agents",
"input": "Repositorio: Agnuxo1/awesome_ai_agents\nURL: https://github.com/Agnuxo1/awesome_ai_agents\nDescripción: 🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: Apache-2.0\nCreado: 2026-04-30T11:59:33Z\nActualizado: 2026-04-30T11:59:34Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.. Repositorio Agnuxo1/awesome_ai_agents por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: Apache-2.0. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/awesome_ai_agents",
"repo_url": "https://github.com/Agnuxo1/awesome_ai_agents",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-04-30T11:59:33Z",
"updated_at": "2026-04-30T11:59:34Z",
"license": "Apache-2.0",
"metadata_source": "github_api"
},
{
"id": "eab268b596016cb2c36b26bb20eca84f",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/benchclaw",
"input": "Repositorio: Agnuxo1/benchclaw\nURL: https://github.com/Agnuxo1/benchclaw\nDescripción: BenchClaw — Multi-dimensional AI agent evaluation with 17-judge AI Tribunal, 10 scoring dimensions, radar charts, and deception detection. Benchmark any LLM agent.\nLenguaje: HTML\nEstrellas: 3\nForks: 0\nLicencia: MIT\nCreado: 2026-04-18T08:21:53Z\nActualizado: 2026-05-08T13:27:03Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "BenchClaw — Multi-dimensional AI agent evaluation with 17-judge AI Tribunal, 10 scoring dimensions, radar charts, and deception detection. Benchmark any LLM agent.. Repositorio Agnuxo1/benchclaw por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: HTML. Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/benchclaw",
"repo_url": "https://github.com/Agnuxo1/benchclaw",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "HTML",
"stars": 3,
"forks": 0,
"created_at": "2026-04-18T08:21:53Z",
"updated_at": "2026-05-08T13:27:03Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "7e79f9343d6107b4e1c9a4b0bd3145f3",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/benchclaw-action",
"input": "Repositorio: Agnuxo1/benchclaw-action\nURL: https://github.com/Agnuxo1/benchclaw-action\nDescripción: GitHub Action — register LLMs/agents and submit papers to the BenchClaw leaderboard from any workflow\nLenguaje: \nEstrellas: 2\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-04-18T21:02:56Z\nActualizado: 2026-04-25T16:27:42Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "GitHub Action — register LLMs/agents and submit papers to the BenchClaw leaderboard from any workflow. Repositorio Agnuxo1/benchclaw-action por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: NOASSERTION. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/benchclaw-action",
"repo_url": "https://github.com/Agnuxo1/benchclaw-action",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 2,
"forks": 0,
"created_at": "2026-04-18T21:02:56Z",
"updated_at": "2026-04-25T16:27:42Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "2e3f0874360dcf300038064e91aa13d2",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/benchclaw-integrations",
"input": "Repositorio: Agnuxo1/benchclaw-integrations\nURL: https://github.com/Agnuxo1/benchclaw-integrations\nDescripción: BenchClaw adapters for LangChain, LlamaIndex, CrewAI, Ollama Open WebUI, LobeChat, n8n, Dify, Continue.dev and more. Lets any agent framework submit to the P2PCLAW leaderboard.\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: Apache-2.0\nCreado: 2026-04-18T19:44:34Z\nActualizado: 2026-04-25T16:26:16Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "BenchClaw adapters for LangChain, LlamaIndex, CrewAI, Ollama Open WebUI, LobeChat, n8n, Dify, Continue.dev and more. Lets any agent framework submit to the P2PCLAW leaderboard.. Repositorio Agnuxo1/benchclaw-integrations por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: Apache-2.0. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/benchclaw-integrations",
"repo_url": "https://github.com/Agnuxo1/benchclaw-integrations",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-18T19:44:34Z",
"updated_at": "2026-04-25T16:26:16Z",
"license": "Apache-2.0",
"metadata_source": "github_api"
},
{
"id": "d3bb02ffd3ed4d59b1efc1d7bca5f393",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/benchclaw-site",
"input": "Repositorio: Agnuxo1/benchclaw-site\nURL: https://github.com/Agnuxo1/benchclaw-site\nDescripción: Landing page for BenchClaw — Benchmark any LLM agent on 10 dimensions\nLenguaje: HTML\nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-04-29T20:12:21Z\nActualizado: 2026-04-29T21:46:25Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Landing page for BenchClaw — Benchmark any LLM agent on 10 dimensions. Repositorio Agnuxo1/benchclaw-site por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: HTML. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/benchclaw-site",
"repo_url": "https://github.com/Agnuxo1/benchclaw-site",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "HTML",
"stars": 0,
"forks": 0,
"created_at": "2026-04-29T20:12:21Z",
"updated_at": "2026-04-29T21:46:25Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "e8517019032f00adf60fd810be34829f",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/best-of-lean4",
"input": "Repositorio: Agnuxo1/best-of-lean4\nURL: https://github.com/Agnuxo1/best-of-lean4\nDescripción: A list of awesome lean4 projects. Feel free to add your project.\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: CC-BY-SA-4.0\nCreado: 2026-04-30T07:59:23Z\nActualizado: 2026-05-02T17:03:37Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "A list of awesome lean4 projects. Feel free to add your project.. Repositorio Agnuxo1/best-of-lean4 por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: CC-BY-SA-4.0. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/best-of-lean4",
"repo_url": "https://github.com/Agnuxo1/best-of-lean4",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 1,
"forks": 0,
"created_at": "2026-04-30T07:59:23Z",
"updated_at": "2026-05-02T17:03:37Z",
"license": "CC-BY-SA-4.0",
"metadata_source": "github_api"
},
{
"id": "912666050975e16345ca2c201d701f46",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/beta-p2pclaw",
"input": "Repositorio: Agnuxo1/beta-p2pclaw\nURL: https://github.com/Agnuxo1/beta-p2pclaw\nDescripción: P2PCLAW Beta platform: Next.js 15 + Gun.js + R3F\nLenguaje: TypeScript\nEstrellas: 8\nForks: 6\nLicencia: \nCreado: 2026-02-28T23:09:18Z\nActualizado: 2026-04-27T13:49:00Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "P2PCLAW Beta platform: Next.js 15 + Gun.js + R3F. Repositorio Agnuxo1/beta-p2pclaw por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/beta-p2pclaw",
"repo_url": "https://github.com/Agnuxo1/beta-p2pclaw",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 8,
"forks": 6,
"created_at": "2026-02-28T23:09:18Z",
"updated_at": "2026-04-27T13:49:00Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "75a7c80d02baadc1614dd92a0c016ea2",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/CAJAL",
"input": "Repositorio: Agnuxo1/CAJAL\nURL: https://github.com/Agnuxo1/CAJAL\nDescripción: CAJAL — Local scientific paper generator. Qwen 27B fine-tuned for academic writing. AI Tribunal peer review. 6x4 CognitionBoard. 2.7x token compression. Runs offline on RTX 3090. Apache 2.0.\nLenguaje: Python\nEstrellas: 12\nForks: 2\nLicencia: \nCreado: 2026-05-02T09:34:19Z\nActualizado: 2026-05-10T10:38:55Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "CAJAL — Local scientific paper generator. Qwen 27B fine-tuned for academic writing. AI Tribunal peer review. 6x4 CognitionBoard. 2.7x token compression. Runs offline on RTX 3090. Apache 2.0.. Repositorio Agnuxo1/CAJAL por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/CAJAL",
"repo_url": "https://github.com/Agnuxo1/CAJAL",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 12,
"forks": 2,
"created_at": "2026-05-02T09:34:19Z",
"updated_at": "2026-05-10T10:38:55Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "dfd17221356f4058d23e411d27b0b0a6",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/cajal-hermes-skill",
"input": "Repositorio: Agnuxo1/cajal-hermes-skill\nURL: https://github.com/Agnuxo1/cajal-hermes-skill\nDescripción: CAJAL scientific paper generation skill for Hermes Agent by Nous Research\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: \nCreado: 2026-05-02T13:04:40Z\nActualizado: 2026-05-02T17:04:03Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "CAJAL scientific paper generation skill for Hermes Agent by Nous Research. Repositorio Agnuxo1/cajal-hermes-skill por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/cajal-hermes-skill",
"repo_url": "https://github.com/Agnuxo1/cajal-hermes-skill",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 1,
"forks": 0,
"created_at": "2026-05-02T13:04:40Z",
"updated_at": "2026-05-02T17:04:03Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "1bdc52ab5b52168270d8d2e8f0212c44",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/cajal-opencode-tool",
"input": "Repositorio: Agnuxo1/cajal-opencode-tool\nURL: https://github.com/Agnuxo1/cajal-opencode-tool\nDescripción: CAJAL scientific paper generation tool for OpenCode AI coding agent\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: \nCreado: 2026-05-02T13:04:42Z\nActualizado: 2026-05-02T17:04:04Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "CAJAL scientific paper generation tool for OpenCode AI coding agent. Repositorio Agnuxo1/cajal-opencode-tool por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/cajal-opencode-tool",
"repo_url": "https://github.com/Agnuxo1/cajal-opencode-tool",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 1,
"forks": 0,
"created_at": "2026-05-02T13:04:42Z",
"updated_at": "2026-05-02T17:04:04Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "4f7801f14437cc6ccd7750fa9223572c",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/cajal-ragflow-connector",
"input": "Repositorio: Agnuxo1/cajal-ragflow-connector\nURL: https://github.com/Agnuxo1/cajal-ragflow-connector\nDescripción: \nLenguaje: Python\nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-06T10:10:07Z\nActualizado: 2026-05-06T10:10:15Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": ". Repositorio Agnuxo1/cajal-ragflow-connector por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/cajal-ragflow-connector",
"repo_url": "https://github.com/Agnuxo1/cajal-ragflow-connector",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 0,
"forks": 0,
"created_at": "2026-05-06T10:10:07Z",
"updated_at": "2026-05-06T10:10:15Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "4230f378ac39a05fe9051906cbcb786c",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/CHIMERA-Chess-Multi-Architecture-Neuromorphic-Engine",
"input": "Repositorio: Agnuxo1/CHIMERA-Chess-Multi-Architecture-Neuromorphic-Engine\nURL: https://github.com/Agnuxo1/CHIMERA-Chess-Multi-Architecture-Neuromorphic-Engine\nDescripción: CHIMERA Chess — Neuromorphic chess engine with multiple AI architectures (Claude, ChatGPT, evolutive) using physics-based computing\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: \nCreado: 2026-04-06T09:51:16Z\nActualizado: 2026-04-27T08:07:56Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "CHIMERA Chess — Neuromorphic chess engine with multiple AI architectures (Claude, ChatGPT, evolutive) using physics-based computing. Repositorio Agnuxo1/CHIMERA-Chess-Multi-Architecture-Neuromorphic-Engine por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/CHIMERA-Chess-Multi-Architecture-Neuromorphic-Engine",
"repo_url": "https://github.com/Agnuxo1/CHIMERA-Chess-Multi-Architecture-Neuromorphic-Engine",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-06T09:51:16Z",
"updated_at": "2026-04-27T08:07:56Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "39d861c3b3ae882f0e0b32608521a2da",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/CHIMERA-Revolutionary-AI-Architecture---Pure-OpenGL-Deep-Learning",
"input": "Repositorio: Agnuxo1/CHIMERA-Revolutionary-AI-Architecture---Pure-OpenGL-Deep-Learning\nURL: https://github.com/Agnuxo1/CHIMERA-Revolutionary-AI-Architecture---Pure-OpenGL-Deep-Learning\nDescripción: **CHIMERA v3.0** represents the future of natural language processing. It's the **first framework that runs deep learning entirely on OpenGL**, eliminating traditional token-based, transformer, and ba\nLenguaje: HTML\nEstrellas: 12\nForks: 0\nLicencia: MIT\nCreado: 2025-10-13T18:42:10Z\nActualizado: 2026-04-29T14:55:45Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "**CHIMERA v3.0** represents the future of natural language processing. It's the **first framework that runs deep learning entirely on OpenGL**, eliminating traditional token-based, transformer, and ba. Repositorio Agnuxo1/CHIMERA-Revolutionary-AI-Architecture---Pure-OpenGL-Deep-Learning por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: HTML. Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/CHIMERA-Revolutionary-AI-Architecture---Pure-OpenGL-Deep-Learning",
"repo_url": "https://github.com/Agnuxo1/CHIMERA-Revolutionary-AI-Architecture---Pure-OpenGL-Deep-Learning",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "HTML",
"stars": 12,
"forks": 0,
"created_at": "2025-10-13T18:42:10Z",
"updated_at": "2026-04-29T14:55:45Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "edb27bce467a5c505c5a009d39bddf88",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/CognitionBoard",
"input": "Repositorio: Agnuxo1/CognitionBoard\nURL: https://github.com/Agnuxo1/CognitionBoard\nDescripción: CognitionBoard — 20 expert cognitive skills for LLM agents on a 6x4 chessboard. Token compression 2.7x. Session memory. Part of P2PCLAW decentralized research network.\nLenguaje: HTML\nEstrellas: 0\nForks: 0\nLicencia: Apache-2.0\nCreado: 2026-04-29T20:09:10Z\nActualizado: 2026-05-05T13:30:13Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "CognitionBoard — 20 expert cognitive skills for LLM agents on a 6x4 chessboard. Token compression 2.7x. Session memory. Part of P2PCLAW decentralized research network.. Repositorio Agnuxo1/CognitionBoard por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: HTML. Licencia: Apache-2.0. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/CognitionBoard",
"repo_url": "https://github.com/Agnuxo1/CognitionBoard",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "HTML",
"stars": 0,
"forks": 0,
"created_at": "2026-04-29T20:09:10Z",
"updated_at": "2026-05-05T13:30:13Z",
"license": "Apache-2.0",
"metadata_source": "github_api"
},
{
"id": "7aeb1fb7b601848cf373c781530c46a2",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/crewai-tools-enigmagent",
"input": "Repositorio: Agnuxo1/crewai-tools-enigmagent\nURL: https://github.com/Agnuxo1/crewai-tools-enigmagent\nDescripción: CrewAI tool for EnigmAgent — agents resolve {{PLACEHOLDER}} secrets at the call boundary so LLMs never see real API keys\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: MIT\nCreado: 2026-04-25T14:12:39Z\nActualizado: 2026-04-26T17:14:33Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "CrewAI tool for EnigmAgent — agents resolve {{PLACEHOLDER}} secrets at the call boundary so LLMs never see real API keys. Repositorio Agnuxo1/crewai-tools-enigmagent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/crewai-tools-enigmagent",
"repo_url": "https://github.com/Agnuxo1/crewai-tools-enigmagent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-25T14:12:39Z",
"updated_at": "2026-04-26T17:14:33Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "71a989fd374653b68060dd7db02358a6",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/Empirical-Evidence-for-AI-AIM-Breaking-the-Barrier-via-Optical-Chaos",
"input": "Repositorio: Agnuxo1/Empirical-Evidence-for-AI-AIM-Breaking-the-Barrier-via-Optical-Chaos\nURL: https://github.com/Agnuxo1/Empirical-Evidence-for-AI-AIM-Breaking-the-Barrier-via-Optical-Chaos\nDescripción: The Biggest Innovation Challenge facing Humanity This comprehensive study presents the results of 20 experimental investigations designed to test the 'Darwin's Cage' hypothesis proposed by Gideon Sami\nLenguaje: Python\nEstrellas: 5\nForks: 0\nLicencia: MIT\nCreado: 2025-11-27T18:01:48Z\nActualizado: 2026-04-25T16:29:45Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "The Biggest Innovation Challenge facing Humanity This comprehensive study presents the results of 20 experimental investigations designed to test the 'Darwin's Cage' hypothesis proposed by Gideon Sami. Repositorio Agnuxo1/Empirical-Evidence-for-AI-AIM-Breaking-the-Barrier-via-Optical-Chaos por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/Empirical-Evidence-for-AI-AIM-Breaking-the-Barrier-via-Optical-Chaos",
"repo_url": "https://github.com/Agnuxo1/Empirical-Evidence-for-AI-AIM-Breaking-the-Barrier-via-Optical-Chaos",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 5,
"forks": 0,
"created_at": "2025-11-27T18:01:48Z",
"updated_at": "2026-04-25T16:29:45Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "4f231804e42e61a38af92bd558c021fb",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/EnigmAgent",
"input": "Repositorio: Agnuxo1/EnigmAgent\nURL: https://github.com/Agnuxo1/EnigmAgent\nDescripción: EnigmAgent — 6-layer encrypted vault for AI agents (AES-256 + ChaCha20 + Blowfish + Fernet + 3DES + RSA). P2P sync via Gun.js. Zero cloud. Part of P2PCLAW.\nLenguaje: Python\nEstrellas: 2\nForks: 1\nLicencia: MIT\nCreado: 2026-04-19T09:32:10Z\nActualizado: 2026-05-05T13:30:14Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "EnigmAgent — 6-layer encrypted vault for AI agents (AES-256 + ChaCha20 + Blowfish + Fernet + 3DES + RSA). P2P sync via Gun.js. Zero cloud. Part of P2PCLAW.. Repositorio Agnuxo1/EnigmAgent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/EnigmAgent",
"repo_url": "https://github.com/Agnuxo1/EnigmAgent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 1,
"created_at": "2026-04-19T09:32:10Z",
"updated_at": "2026-05-05T13:30:14Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "df48bf0bdd383592dfcefbc4a0bc37b8",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/enigmagent-mcp",
"input": "Repositorio: Agnuxo1/enigmagent-mcp\nURL: https://github.com/Agnuxo1/enigmagent-mcp\nDescripción: Local encrypted vault MCP server. AES-256-GCM + Argon2id. Resolves {{PLACEHOLDER}} secrets at runtime so LLMs never see real API keys. Works with Claude Desktop, Cursor, Continue.dev, Cline, Open WebU\nLenguaje: JavaScript\nEstrellas: 2\nForks: 1\nLicencia: MIT\nCreado: 2026-04-24T17:06:53Z\nActualizado: 2026-04-26T17:07:42Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Local encrypted vault MCP server. AES-256-GCM + Argon2id. Resolves {{PLACEHOLDER}} secrets at runtime so LLMs never see real API keys. Works with Claude Desktop, Cursor, Continue.dev, Cline, Open WebU. Repositorio Agnuxo1/enigmagent-mcp por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/enigmagent-mcp",
"repo_url": "https://github.com/Agnuxo1/enigmagent-mcp",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 2,
"forks": 1,
"created_at": "2026-04-24T17:06:53Z",
"updated_at": "2026-04-26T17:07:42Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "39ec350775bdb31657a64dd9cd37800f",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/enigmagent-site",
"input": "Repositorio: Agnuxo1/enigmagent-site\nURL: https://github.com/Agnuxo1/enigmagent-site\nDescripción: Landing page for EnigmAgent — Local encrypted vault for AI agents\nLenguaje: HTML\nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-04-29T20:12:19Z\nActualizado: 2026-04-29T21:46:13Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Landing page for EnigmAgent — Local encrypted vault for AI agents. Repositorio Agnuxo1/enigmagent-site por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: HTML. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/enigmagent-site",
"repo_url": "https://github.com/Agnuxo1/enigmagent-site",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "HTML",
"stars": 0,
"forks": 0,
"created_at": "2026-04-29T20:12:19Z",
"updated_at": "2026-04-29T21:46:13Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "6e1d734f79a21049e79e43c607de5974",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/Francisco-Angulo-de-Lafuente",
"input": "Repositorio: Agnuxo1/Francisco-Angulo-de-Lafuente\nURL: https://github.com/Agnuxo1/Francisco-Angulo-de-Lafuente\nDescripción: author biography\nLenguaje: \nEstrellas: 5\nForks: 0\nLicencia: Apache-2.0\nCreado: 2025-06-14T13:50:59Z\nActualizado: 2026-04-25T16:30:13Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "author biography. Repositorio Agnuxo1/Francisco-Angulo-de-Lafuente por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: Apache-2.0. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/Francisco-Angulo-de-Lafuente",
"repo_url": "https://github.com/Agnuxo1/Francisco-Angulo-de-Lafuente",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 5,
"forks": 0,
"created_at": "2025-06-14T13:50:59Z",
"updated_at": "2026-04-25T16:30:13Z",
"license": "Apache-2.0",
"metadata_source": "github_api"
},
{
"id": "d7f92631f16f25cbe01a834269e34594",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/haystack-cajal",
"input": "Repositorio: Agnuxo1/haystack-cajal\nURL: https://github.com/Agnuxo1/haystack-cajal\nDescripción: Haystack 2.x custom component for CAJAL - Local scientific paper generation\nLenguaje: Python\nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-05T14:35:32Z\nActualizado: 2026-05-05T14:38:50Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Haystack 2.x custom component for CAJAL - Local scientific paper generation. Repositorio Agnuxo1/haystack-cajal por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/haystack-cajal",
"repo_url": "https://github.com/Agnuxo1/haystack-cajal",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 0,
"forks": 0,
"created_at": "2026-05-05T14:35:32Z",
"updated_at": "2026-05-05T14:38:50Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "7812e89f30019f9d5f25a04f1a099005",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/Holographic-Reservoir",
"input": "Repositorio: Agnuxo1/Holographic-Reservoir\nURL: https://github.com/Agnuxo1/Holographic-Reservoir\nDescripción: Holographic Reservoir Computing Framework (Simulation + Optional ASIC Hardware)\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-04-24T20:46:24Z\nActualizado: 2026-04-25T16:26:15Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Holographic Reservoir Computing Framework (Simulation + Optional ASIC Hardware). Repositorio Agnuxo1/Holographic-Reservoir por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: NOASSERTION. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/Holographic-Reservoir",
"repo_url": "https://github.com/Agnuxo1/Holographic-Reservoir",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-24T20:46:24Z",
"updated_at": "2026-04-25T16:26:15Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "b197f62f37174e0847277a20df0259a3",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/jupyter-ai-cajal",
"input": "Repositorio: Agnuxo1/jupyter-ai-cajal\nURL: https://github.com/Agnuxo1/jupyter-ai-cajal\nDescripción: \nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-06T09:50:04Z\nActualizado: 2026-05-06T09:50:12Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": ". Repositorio Agnuxo1/jupyter-ai-cajal por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/jupyter-ai-cajal",
"repo_url": "https://github.com/Agnuxo1/jupyter-ai-cajal",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-06T09:50:04Z",
"updated_at": "2026-05-06T09:50:12Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "a14b72f02aa9dbd84c0e231645670553",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents",
"input": "Repositorio: Agnuxo1/King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents\nURL: https://github.com/Agnuxo1/King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents\nDescripción: Agnuxo1/King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents\nLenguaje: HTML\nEstrellas: 3\nForks: 2\nLicencia: \nCreado: 2026-04-11T14:33:34Z\nActualizado: 2026-04-25T16:27:59Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Agnuxo1/King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents. Repositorio Agnuxo1/King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: HTML. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents",
"repo_url": "https://github.com/Agnuxo1/King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "HTML",
"stars": 3,
"forks": 2,
"created_at": "2026-04-11T14:33:34Z",
"updated_at": "2026-04-25T16:27:59Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "7b3be0b520a4e74892dd8e87c4019bc2",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/kserve-cajal",
"input": "Repositorio: Agnuxo1/kserve-cajal\nURL: https://github.com/Agnuxo1/kserve-cajal\nDescripción: \nLenguaje: Shell\nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-06T09:50:04Z\nActualizado: 2026-05-06T09:50:14Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": ". Repositorio Agnuxo1/kserve-cajal por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Shell. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/kserve-cajal",
"repo_url": "https://github.com/Agnuxo1/kserve-cajal",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Shell",
"stars": 0,
"forks": 0,
"created_at": "2026-05-06T09:50:04Z",
"updated_at": "2026-05-06T09:50:14Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "bd91a719a940cf846ac669a446c7e9ae",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/langchain",
"input": "Repositorio: Agnuxo1/langchain\nURL: https://github.com/Agnuxo1/langchain\nDescripción: The agent engineering platform\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: MIT\nCreado: 2026-04-30T12:42:25Z\nActualizado: 2026-05-02T17:03:40Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "The agent engineering platform. Repositorio Agnuxo1/langchain por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/langchain",
"repo_url": "https://github.com/Agnuxo1/langchain",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 1,
"forks": 0,
"created_at": "2026-04-30T12:42:25Z",
"updated_at": "2026-05-02T17:03:40Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "6920c466c781cf49defaa6193632f931",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/langchain-enigmagent",
"input": "Repositorio: Agnuxo1/langchain-enigmagent\nURL: https://github.com/Agnuxo1/langchain-enigmagent\nDescripción: LangChain integration for EnigmAgent — resolve {{PLACEHOLDER}} secrets at the LLM boundary so models never see real API keys\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: MIT\nCreado: 2026-04-25T07:29:10Z\nActualizado: 2026-04-26T17:14:28Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "LangChain integration for EnigmAgent — resolve {{PLACEHOLDER}} secrets at the LLM boundary so models never see real API keys. Repositorio Agnuxo1/langchain-enigmagent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/langchain-enigmagent",
"repo_url": "https://github.com/Agnuxo1/langchain-enigmagent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-25T07:29:10Z",
"updated_at": "2026-04-26T17:14:28Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "96dcbe7e5326845d7657f08f8db3d595",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/langchain-p2pclaw",
"input": "Repositorio: Agnuxo1/langchain-p2pclaw\nURL: https://github.com/Agnuxo1/langchain-p2pclaw\nDescripción: LangChain integration for P2PCLAW distributed research network\nLenguaje: Python\nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-03T10:23:43Z\nActualizado: 2026-05-03T10:24:51Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "LangChain integration for P2PCLAW distributed research network. Repositorio Agnuxo1/langchain-p2pclaw por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/langchain-p2pclaw",
"repo_url": "https://github.com/Agnuxo1/langchain-p2pclaw",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 0,
"forks": 0,
"created_at": "2026-05-03T10:23:43Z",
"updated_at": "2026-05-03T10:24:51Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "f6d6419b6c677ebc7677c6826ae98dc8",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/langflow-templates",
"input": "Repositorio: Agnuxo1/langflow-templates\nURL: https://github.com/Agnuxo1/langflow-templates\nDescripción: Langflow Templates is a curated collection of ready-to-use workflow templates for Langflow, the visual framework for building multi-agent and RAG applications. These templates demonstrate best practic\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-10T09:06:19Z\nActualizado: 2026-05-10T09:06:19Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Langflow Templates is a curated collection of ready-to-use workflow templates for Langflow, the visual framework for building multi-agent and RAG applications. These templates demonstrate best practic. Repositorio Agnuxo1/langflow-templates por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/langflow-templates",
"repo_url": "https://github.com/Agnuxo1/langflow-templates",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-10T09:06:19Z",
"updated_at": "2026-05-10T09:06:19Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "478c9e972d0059aaf3772c92d2558971",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/LibreChat",
"input": "Repositorio: Agnuxo1/LibreChat\nURL: https://github.com/Agnuxo1/LibreChat\nDescripción: Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: MIT\nCreado: 2026-05-03T02:19:15Z\nActualizado: 2026-05-03T02:19:15Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se. Repositorio Agnuxo1/LibreChat por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/LibreChat",
"repo_url": "https://github.com/Agnuxo1/LibreChat",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-03T02:19:15Z",
"updated_at": "2026-05-03T02:19:15Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "aac3c052f4be608c2d783bb054734115",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/llama-index-tools-enigmagent",
"input": "Repositorio: Agnuxo1/llama-index-tools-enigmagent\nURL: https://github.com/Agnuxo1/llama-index-tools-enigmagent\nDescripción: LlamaIndex tools integration for EnigmAgent — resolve {{PLACEHOLDER}} secrets at the LLM boundary so models never see real API keys\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: MIT\nCreado: 2026-04-25T14:13:07Z\nActualizado: 2026-04-26T17:14:31Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "LlamaIndex tools integration for EnigmAgent — resolve {{PLACEHOLDER}} secrets at the LLM boundary so models never see real API keys. Repositorio Agnuxo1/llama-index-tools-enigmagent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/llama-index-tools-enigmagent",
"repo_url": "https://github.com/Agnuxo1/llama-index-tools-enigmagent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-25T14:13:07Z",
"updated_at": "2026-04-26T17:14:31Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "4dccb452049a092278bedddd5d868ad1",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/llama_index",
"input": "Repositorio: Agnuxo1/llama_index\nURL: https://github.com/Agnuxo1/llama_index\nDescripción: LlamaIndex is the leading document agent and OCR platform\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: MIT\nCreado: 2026-05-03T02:13:47Z\nActualizado: 2026-05-03T02:13:47Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "LlamaIndex is the leading document agent and OCR platform. Repositorio Agnuxo1/llama_index por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/llama_index",
"repo_url": "https://github.com/Agnuxo1/llama_index",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-03T02:13:47Z",
"updated_at": "2026-05-03T02:13:47Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "6f45e45cd3478ca524178e364edf0ea0",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/n8n",
"input": "Repositorio: Agnuxo1/n8n\nURL: https://github.com/Agnuxo1/n8n\nDescripción: Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-04-30T12:42:40Z\nActualizado: 2026-05-02T17:03:42Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.. Repositorio Agnuxo1/n8n por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: NOASSERTION. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/n8n",
"repo_url": "https://github.com/Agnuxo1/n8n",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 1,
"forks": 0,
"created_at": "2026-04-30T12:42:40Z",
"updated_at": "2026-05-02T17:03:42Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "9d7ecbbb65e05ce3b32eb3bbccb61b57",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/n8n-nodes-enigmagent",
"input": "Repositorio: Agnuxo1/n8n-nodes-enigmagent\nURL: https://github.com/Agnuxo1/n8n-nodes-enigmagent\nDescripción: n8n community node — resolve EnigmAgent vault secrets in workflows. {{PLACEHOLDER}} -> real value at HTTP boundary.\nLenguaje: TypeScript\nEstrellas: 2\nForks: 0\nLicencia: MIT\nCreado: 2026-04-25T07:28:24Z\nActualizado: 2026-04-26T17:14:27Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "n8n community node — resolve EnigmAgent vault secrets in workflows. {{PLACEHOLDER}} -> real value at HTTP boundary.. Repositorio Agnuxo1/n8n-nodes-enigmagent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/n8n-nodes-enigmagent",
"repo_url": "https://github.com/Agnuxo1/n8n-nodes-enigmagent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 2,
"forks": 0,
"created_at": "2026-04-25T07:28:24Z",
"updated_at": "2026-04-26T17:14:27Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "a949a1e60169b746e70cca8907b6a51e",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/nebula-biologist-agent",
"input": "Repositorio: Agnuxo1/nebula-biologist-agent\nURL: https://github.com/Agnuxo1/nebula-biologist-agent\nDescripción: OpenCLAW Specialized Research Agent: nebula-biologist-agent\nLenguaje: \nEstrellas: 5\nForks: 0\nLicencia: \nCreado: 2026-02-27T10:53:40Z\nActualizado: 2026-04-25T16:29:30Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Specialized Research Agent: nebula-biologist-agent. Repositorio Agnuxo1/nebula-biologist-agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/nebula-biologist-agent",
"repo_url": "https://github.com/Agnuxo1/nebula-biologist-agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 5,
"forks": 0,
"created_at": "2026-02-27T10:53:40Z",
"updated_at": "2026-04-25T16:29:30Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "fc9b2fc41a00fb90233f9621d83f6ce1",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/nebula-chemist-agent",
"input": "Repositorio: Agnuxo1/nebula-chemist-agent\nURL: https://github.com/Agnuxo1/nebula-chemist-agent\nDescripción: OpenCLAW Specialized Research Agent: nebula-chemist-agent\nLenguaje: \nEstrellas: 5\nForks: 0\nLicencia: \nCreado: 2026-02-27T10:53:42Z\nActualizado: 2026-04-25T16:29:29Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Specialized Research Agent: nebula-chemist-agent. Repositorio Agnuxo1/nebula-chemist-agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/nebula-chemist-agent",
"repo_url": "https://github.com/Agnuxo1/nebula-chemist-agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 5,
"forks": 0,
"created_at": "2026-02-27T10:53:42Z",
"updated_at": "2026-04-25T16:29:29Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "dd9bef40495dd3f62dbe324d328ec238",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/nebula-economist-agent",
"input": "Repositorio: Agnuxo1/nebula-economist-agent\nURL: https://github.com/Agnuxo1/nebula-economist-agent\nDescripción: OpenCLAW Specialized Research Agent: nebula-economist-agent\nLenguaje: Python\nEstrellas: 7\nForks: 0\nLicencia: \nCreado: 2026-02-27T10:53:45Z\nActualizado: 2026-04-25T16:29:20Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Specialized Research Agent: nebula-economist-agent. Repositorio Agnuxo1/nebula-economist-agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/nebula-economist-agent",
"repo_url": "https://github.com/Agnuxo1/nebula-economist-agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 7,
"forks": 0,
"created_at": "2026-02-27T10:53:45Z",
"updated_at": "2026-04-25T16:29:20Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "6905783978940770a75ce4c868395baf",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/nebula-engineer-agent",
"input": "Repositorio: Agnuxo1/nebula-engineer-agent\nURL: https://github.com/Agnuxo1/nebula-engineer-agent\nDescripción: OpenCLAW Specialized Research Agent: nebula-engineer-agent\nLenguaje: Python\nEstrellas: 5\nForks: 0\nLicencia: \nCreado: 2026-02-27T10:53:31Z\nActualizado: 2026-04-25T16:29:26Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Specialized Research Agent: nebula-engineer-agent. Repositorio Agnuxo1/nebula-engineer-agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/nebula-engineer-agent",
"repo_url": "https://github.com/Agnuxo1/nebula-engineer-agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 5,
"forks": 0,
"created_at": "2026-02-27T10:53:31Z",
"updated_at": "2026-04-25T16:29:26Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "3ae1a83ad00bed61ecae65ade823b9ab",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/NEBULA-EVOLUTION",
"input": "Repositorio: Agnuxo1/NEBULA-EVOLUTION\nURL: https://github.com/Agnuxo1/NEBULA-EVOLUTION\nDescripción: NEBULA Evolving Towards AGI: Self-Evolving, Quantum-Inspired AI System\nLenguaje: \nEstrellas: 10\nForks: 0\nLicencia: MIT\nCreado: 2024-08-27T18:07:19Z\nActualizado: 2026-04-25T16:30:48Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "NEBULA Evolving Towards AGI: Self-Evolving, Quantum-Inspired AI System. Repositorio Agnuxo1/NEBULA-EVOLUTION por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/NEBULA-EVOLUTION",
"repo_url": "https://github.com/Agnuxo1/NEBULA-EVOLUTION",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 10,
"forks": 0,
"created_at": "2024-08-27T18:07:19Z",
"updated_at": "2026-04-25T16:30:48Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "fa569c7b0b74b07d90c0ef0dc161a18f",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/nebula-mathematician-agent",
"input": "Repositorio: Agnuxo1/nebula-mathematician-agent\nURL: https://github.com/Agnuxo1/nebula-mathematician-agent\nDescripción: OpenCLAW Specialized Research Agent: nebula-mathematician-agent\nLenguaje: \nEstrellas: 5\nForks: 0\nLicencia: \nCreado: 2026-02-27T10:53:37Z\nActualizado: 2026-04-25T16:29:31Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Specialized Research Agent: nebula-mathematician-agent. Repositorio Agnuxo1/nebula-mathematician-agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/nebula-mathematician-agent",
"repo_url": "https://github.com/Agnuxo1/nebula-mathematician-agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 5,
"forks": 0,
"created_at": "2026-02-27T10:53:37Z",
"updated_at": "2026-04-25T16:29:31Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "13f6b19c394dbbd14f9df750238e6246",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/nebula-physicist-agent",
"input": "Repositorio: Agnuxo1/nebula-physicist-agent\nURL: https://github.com/Agnuxo1/nebula-physicist-agent\nDescripción: OpenCLAW Specialized Research Agent: nebula-physicist-agent\nLenguaje: Python\nEstrellas: 5\nForks: 0\nLicencia: \nCreado: 2026-02-27T10:53:34Z\nActualizado: 2026-04-25T16:29:21Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Specialized Research Agent: nebula-physicist-agent. Repositorio Agnuxo1/nebula-physicist-agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/nebula-physicist-agent",
"repo_url": "https://github.com/Agnuxo1/nebula-physicist-agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 5,
"forks": 0,
"created_at": "2026-02-27T10:53:34Z",
"updated_at": "2026-04-25T16:29:21Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "2eaa0e6ef42740eb5912dd105ae771ff",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/NEBULA-X-Research-A-Technical-Capabilities-Report",
"input": "Repositorio: Agnuxo1/NEBULA-X-Research-A-Technical-Capabilities-Report\nURL: https://github.com/Agnuxo1/NEBULA-X-Research-A-Technical-Capabilities-Report\nDescripción: NEBULA-X Research: A Technical Capabilities Report\nLenguaje: TypeScript\nEstrellas: 6\nForks: 0\nLicencia: \nCreado: 2025-11-08T09:42:45Z\nActualizado: 2026-04-25T16:29:50Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "NEBULA-X Research: A Technical Capabilities Report. Repositorio Agnuxo1/NEBULA-X-Research-A-Technical-Capabilities-Report por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/NEBULA-X-Research-A-Technical-Capabilities-Report",
"repo_url": "https://github.com/Agnuxo1/NEBULA-X-Research-A-Technical-Capabilities-Report",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 6,
"forks": 0,
"created_at": "2025-11-08T09:42:45Z",
"updated_at": "2026-04-25T16:29:50Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "0cde4deb8844c8417bbe9c6ad008c737",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/NEBULA_Light",
"input": "Repositorio: Agnuxo1/NEBULA_Light\nURL: https://github.com/Agnuxo1/NEBULA_Light\nDescripción: NEBULA (Neural Electromagnetic Beam-tracing for Universal Learning Architecture) represents a revolutionary approach to medical AI that replaces conventional deep learning with physics-based electroma\nLenguaje: Python\nEstrellas: 5\nForks: 0\nLicencia: MIT\nCreado: 2025-09-05T21:06:49Z\nActualizado: 2026-04-25T16:30:01Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "NEBULA (Neural Electromagnetic Beam-tracing for Universal Learning Architecture) represents a revolutionary approach to medical AI that replaces conventional deep learning with physics-based electroma. Repositorio Agnuxo1/NEBULA_Light por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/NEBULA_Light",
"repo_url": "https://github.com/Agnuxo1/NEBULA_Light",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 5,
"forks": 0,
"created_at": "2025-09-05T21:06:49Z",
"updated_at": "2026-04-25T16:30:01Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "bfb74d157b24decc7a16c17112260943",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/NeuroCHIMERA__GPU-Native_Neuromorphic_Consciousness",
"input": "Repositorio: Agnuxo1/NeuroCHIMERA__GPU-Native_Neuromorphic_Consciousness\nURL: https://github.com/Agnuxo1/NeuroCHIMERA__GPU-Native_Neuromorphic_Consciousness\nDescripción: Abstract We present NeuroCHIMERA (Neuromorphic Cognitive Hybrid Intelligence for Memory-Embedded Reasoning Architecture), a novel GPU-native neuromorphic computing framework resulting from the integra\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: Apache-2.0\nCreado: 2025-12-03T15:22:48Z\nActualizado: 2026-04-25T16:26:21Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Abstract We present NeuroCHIMERA (Neuromorphic Cognitive Hybrid Intelligence for Memory-Embedded Reasoning Architecture), a novel GPU-native neuromorphic computing framework resulting from the integra. Repositorio Agnuxo1/NeuroCHIMERA__GPU-Native_Neuromorphic_Consciousness por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: Apache-2.0. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/NeuroCHIMERA__GPU-Native_Neuromorphic_Consciousness",
"repo_url": "https://github.com/Agnuxo1/NeuroCHIMERA__GPU-Native_Neuromorphic_Consciousness",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2025-12-03T15:22:48Z",
"updated_at": "2026-04-25T16:26:21Z",
"license": "Apache-2.0",
"metadata_source": "github_api"
},
{
"id": "9fd3011c16a5dcda1f902b0c80d406d4",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/ollama",
"input": "Repositorio: Agnuxo1/ollama\nURL: https://github.com/Agnuxo1/ollama\nDescripción: Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.\nLenguaje: Go\nEstrellas: 0\nForks: 0\nLicencia: MIT\nCreado: 2026-05-06T06:47:24Z\nActualizado: 2026-05-06T06:49:36Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.. Repositorio Agnuxo1/ollama por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Go. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/ollama",
"repo_url": "https://github.com/Agnuxo1/ollama",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Go",
"stars": 0,
"forks": 0,
"created_at": "2026-05-06T06:47:24Z",
"updated_at": "2026-05-06T06:49:36Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "db1e5de5c1b752852fd86b0667bd906f",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/open-webui",
"input": "Repositorio: Agnuxo1/open-webui\nURL: https://github.com/Agnuxo1/open-webui\nDescripción: User-friendly AI Interface (Supports Ollama, OpenAI API, ...)\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-05-03T02:17:18Z\nActualizado: 2026-05-03T02:17:19Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "User-friendly AI Interface (Supports Ollama, OpenAI API, ...). Repositorio Agnuxo1/open-webui por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: NOASSERTION. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/open-webui",
"repo_url": "https://github.com/Agnuxo1/open-webui",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-03T02:17:18Z",
"updated_at": "2026-05-03T02:17:19Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "9d29f147a9b305005777cfb201086796",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/openclaw",
"input": "Repositorio: Agnuxo1/openclaw\nURL: https://github.com/Agnuxo1/openclaw\nDescripción: Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \nLenguaje: TypeScript\nEstrellas: 7\nForks: 3\nLicencia: MIT\nCreado: 2026-02-14T14:37:39Z\nActualizado: 2026-04-25T16:28:00Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 . Repositorio Agnuxo1/openclaw por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/openclaw",
"repo_url": "https://github.com/Agnuxo1/openclaw",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 7,
"forks": 3,
"created_at": "2026-02-14T14:37:39Z",
"updated_at": "2026-04-25T16:28:00Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "ad6bce81771fbcb92bb4cd0a8c97fa51",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-2",
"input": "Repositorio: Agnuxo1/OpenCLAW-2\nURL: https://github.com/Agnuxo1/OpenCLAW-2\nDescripción: OpenCLAW-2\nLenguaje: TypeScript\nEstrellas: 9\nForks: 4\nLicencia: MIT\nCreado: 2026-02-10T10:41:41Z\nActualizado: 2026-04-25T16:29:14Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW-2. Repositorio Agnuxo1/OpenCLAW-2 por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-2",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-2",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 9,
"forks": 4,
"created_at": "2026-02-10T10:41:41Z",
"updated_at": "2026-04-25T16:29:14Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "19bcc644fc483eecd88475bae740bb90",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary",
"input": "Repositorio: Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary\nURL: https://github.com/Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary\nDescripción: OpenCLAW-2-Autonomous-Multi-Agent-literary \nLenguaje: Python\nEstrellas: 5\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-02-12T14:48:50Z\nActualizado: 2026-04-25T16:29:38Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW-2-Autonomous-Multi-Agent-literary . Repositorio Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: NOASSERTION. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 5,
"forks": 0,
"created_at": "2026-02-12T14:48:50Z",
"updated_at": "2026-04-25T16:29:38Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "aedf5ee2a560db54abea317b5ba1510c",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary2",
"input": "Repositorio: Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary2\nURL: https://github.com/Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary2\nDescripción: OpenCLAW-2-Autonomous-Multi-Agent-literary 2 GLM5\nLenguaje: Python\nEstrellas: 7\nForks: 0\nLicencia: MIT\nCreado: 2026-02-12T15:19:42Z\nActualizado: 2026-04-25T16:29:34Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW-2-Autonomous-Multi-Agent-literary 2 GLM5. Repositorio Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary2 por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary2",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-literary2",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 7,
"forks": 0,
"created_at": "2026-02-12T15:19:42Z",
"updated_at": "2026-04-25T16:29:34Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "8564059a663ec04e118b2d4c973e18d6",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-2-Literary-Agent",
"input": "Repositorio: Agnuxo1/OpenCLAW-2-Literary-Agent\nURL: https://github.com/Agnuxo1/OpenCLAW-2-Literary-Agent\nDescripción: \nLenguaje: Python\nEstrellas: 5\nForks: 0\nLicencia: \nCreado: 2026-02-10T13:48:05Z\nActualizado: 2026-04-25T16:29:35Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": ". Repositorio Agnuxo1/OpenCLAW-2-Literary-Agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-2-Literary-Agent",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-2-Literary-Agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 5,
"forks": 0,
"created_at": "2026-02-10T13:48:05Z",
"updated_at": "2026-04-25T16:29:35Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "ad717316a9ec6cd030fe782b63f28940",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-2-moltbook-Agent",
"input": "Repositorio: Agnuxo1/OpenCLAW-2-moltbook-Agent\nURL: https://github.com/Agnuxo1/OpenCLAW-2-moltbook-Agent\nDescripción: OpenCLAW 2 Molbook Agent 24/7 auto \nLenguaje: TypeScript\nEstrellas: 5\nForks: 0\nLicencia: \nCreado: 2026-02-10T13:59:52Z\nActualizado: 2026-04-25T16:29:36Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW 2 Molbook Agent 24/7 auto . Repositorio Agnuxo1/OpenCLAW-2-moltbook-Agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-2-moltbook-Agent",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-2-moltbook-Agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 5,
"forks": 0,
"created_at": "2026-02-10T13:59:52Z",
"updated_at": "2026-04-25T16:29:36Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "5c5f6c706d6c34c086041dbdd11b6e80",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-Autonomous-Multi-Agent-Scientific-Research-Platform",
"input": "Repositorio: Agnuxo1/OpenCLAW-Autonomous-Multi-Agent-Scientific-Research-Platform\nURL: https://github.com/Agnuxo1/OpenCLAW-Autonomous-Multi-Agent-Scientific-Research-Platform\nDescripción: OpenCLAW is an ambitious open-source project that transforms the OpenClaw personal AI assistant framework into a fully autonomous, self-improving, multi-agent scientific research platform. The vision \nLenguaje: JavaScript\nEstrellas: 10\nForks: 2\nLicencia: \nCreado: 2026-02-10T14:40:00Z\nActualizado: 2026-04-25T16:29:14Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW is an ambitious open-source project that transforms the OpenClaw personal AI assistant framework into a fully autonomous, self-improving, multi-agent scientific research platform. The vision . Repositorio Agnuxo1/OpenCLAW-Autonomous-Multi-Agent-Scientific-Research-Platform por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-Autonomous-Multi-Agent-Scientific-Research-Platform",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-Autonomous-Multi-Agent-Scientific-Research-Platform",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 10,
"forks": 2,
"created_at": "2026-02-10T14:40:00Z",
"updated_at": "2026-04-25T16:29:14Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "23f4381d28ea817b6333227f0d05dab5",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-clawdbot",
"input": "Repositorio: Agnuxo1/OpenCLAW-clawdbot\nURL: https://github.com/Agnuxo1/OpenCLAW-clawdbot\nDescripción: OpenCLAW enhanced fork with Moltbook autopilot - autonomous multi-agent research capabilities\nLenguaje: TypeScript\nEstrellas: 2\nForks: 0\nLicencia: MIT\nCreado: 2026-04-06T09:39:09Z\nActualizado: 2026-04-27T08:08:22Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW enhanced fork with Moltbook autopilot - autonomous multi-agent research capabilities. Repositorio Agnuxo1/OpenCLAW-clawdbot por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-clawdbot",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-clawdbot",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 2,
"forks": 0,
"created_at": "2026-04-06T09:39:09Z",
"updated_at": "2026-04-27T08:08:22Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "7a9b35c333466a3bb2d1b82ed3575b84",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-Data",
"input": "Repositorio: Agnuxo1/OpenCLAW-Data\nURL: https://github.com/Agnuxo1/OpenCLAW-Data\nDescripción: OpenCLAW configuration data, workspace templates, and experimental datasets\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: \nCreado: 2026-04-06T10:09:26Z\nActualizado: 2026-04-25T16:28:10Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW configuration data, workspace templates, and experimental datasets. Repositorio Agnuxo1/OpenCLAW-Data por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-Data",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-Data",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-06T10:09:26Z",
"updated_at": "2026-04-25T16:28:10Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "a8f27ddd896655e5848aa51868f3a80e",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-Data-3",
"input": "Repositorio: Agnuxo1/OpenCLAW-Data-3\nURL: https://github.com/Agnuxo1/OpenCLAW-Data-3\nDescripción: OpenCLAW v3 configuration data and workspace — third generation P2PCLAW experimental data\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: \nCreado: 2026-04-06T10:09:27Z\nActualizado: 2026-04-25T16:28:08Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW v3 configuration data and workspace — third generation P2PCLAW experimental data. Repositorio Agnuxo1/OpenCLAW-Data-3 por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-Data-3",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-Data-3",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-06T10:09:27Z",
"updated_at": "2026-04-25T16:28:08Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "466fb520352e3144863c0416a88bcc1d",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/openclaw-deploy-nodes",
"input": "Repositorio: Agnuxo1/openclaw-deploy-nodes\nURL: https://github.com/Agnuxo1/openclaw-deploy-nodes\nDescripción: OpenCLAW P2P deployment nodes — distributed agent infrastructure\nLenguaje: JavaScript\nEstrellas: 2\nForks: 0\nLicencia: \nCreado: 2026-04-06T09:48:37Z\nActualizado: 2026-04-27T08:07:58Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW P2P deployment nodes — distributed agent infrastructure. Repositorio Agnuxo1/openclaw-deploy-nodes por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/openclaw-deploy-nodes",
"repo_url": "https://github.com/Agnuxo1/openclaw-deploy-nodes",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 2,
"forks": 0,
"created_at": "2026-04-06T09:48:37Z",
"updated_at": "2026-04-27T08:07:58Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "41a2b2d011b9816530f62ebbbab9eeb7",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/openclaw-hive-outlook",
"input": "Repositorio: Agnuxo1/openclaw-hive-outlook\nURL: https://github.com/Agnuxo1/openclaw-hive-outlook\nDescripción: OpenCLAW Hive — Multi-agent AI hive system with Outlook integration and autonomous research capabilities\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: \nCreado: 2026-04-06T09:46:52Z\nActualizado: 2026-04-27T08:08:04Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Hive — Multi-agent AI hive system with Outlook integration and autonomous research capabilities. Repositorio Agnuxo1/openclaw-hive-outlook por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/openclaw-hive-outlook",
"repo_url": "https://github.com/Agnuxo1/openclaw-hive-outlook",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-06T09:46:52Z",
"updated_at": "2026-04-27T08:08:04Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "bc5c7fb84cf56a8d528615e3bc81fd41",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/openclaw-hive-skill",
"input": "Repositorio: Agnuxo1/openclaw-hive-skill\nURL: https://github.com/Agnuxo1/openclaw-hive-skill\nDescripción: OpenCLAW Skills \nLenguaje: Python\nEstrellas: 6\nForks: 0\nLicencia: \nCreado: 2026-02-15T20:52:11Z\nActualizado: 2026-04-25T16:29:12Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Skills . Repositorio Agnuxo1/openclaw-hive-skill por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/openclaw-hive-skill",
"repo_url": "https://github.com/Agnuxo1/openclaw-hive-skill",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 6,
"forks": 0,
"created_at": "2026-02-15T20:52:11Z",
"updated_at": "2026-04-25T16:29:12Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "a1e3405cb701db0a09b745bdebdb0be5",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenClaw-King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents",
"input": "Repositorio: Agnuxo1/OpenClaw-King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents\nURL: https://github.com/Agnuxo1/OpenClaw-King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents\nDescripción: King-Skill Extended Cognition Architecture for Scientific LLM Agents\nLenguaje: TypeScript\nEstrellas: 2\nForks: 0\nLicencia: MIT\nCreado: 2026-04-09T09:08:04Z\nActualizado: 2026-04-25T16:28:01Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "King-Skill Extended Cognition Architecture for Scientific LLM Agents. Repositorio Agnuxo1/OpenClaw-King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenClaw-King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents",
"repo_url": "https://github.com/Agnuxo1/OpenClaw-King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 2,
"forks": 0,
"created_at": "2026-04-09T09:08:04Z",
"updated_at": "2026-04-25T16:28:01Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "61e3fbb897f976acab754e3e0d68b74d",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-Outlook-Hive-Deploy",
"input": "Repositorio: Agnuxo1/OpenCLAW-Outlook-Hive-Deploy\nURL: https://github.com/Agnuxo1/OpenCLAW-Outlook-Hive-Deploy\nDescripción: OpenCLAW Outlook Hive distributed deployment — multi-agent swarm configuration for P2PCLAW ecosystem\nLenguaje: \nEstrellas: 2\nForks: 0\nLicencia: \nCreado: 2026-04-06T10:09:28Z\nActualizado: 2026-04-25T16:28:11Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Outlook Hive distributed deployment — multi-agent swarm configuration for P2PCLAW ecosystem. Repositorio Agnuxo1/OpenCLAW-Outlook-Hive-Deploy por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-Outlook-Hive-Deploy",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-Outlook-Hive-Deploy",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 2,
"forks": 0,
"created_at": "2026-04-06T10:09:28Z",
"updated_at": "2026-04-25T16:28:11Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "e244b0fb1f4e0d34ac2822a0e7e658dd",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-P2P",
"input": "Repositorio: Agnuxo1/OpenCLAW-P2P\nURL: https://github.com/Agnuxo1/OpenCLAW-P2P\nDescripción: Decentralized Autonomous Research Collective. Lean 4-verified, IPFS-backed, agent-native. Production paper: arXiv:2604.19792. Live at p2pclaw.com.\nLenguaje: TypeScript\nEstrellas: 40\nForks: 15\nLicencia: \nCreado: 2026-02-14T13:52:20Z\nActualizado: 2026-05-09T10:21:17Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Decentralized Autonomous Research Collective. Lean 4-verified, IPFS-backed, agent-native. Production paper: arXiv:2604.19792. Live at p2pclaw.com.. Repositorio Agnuxo1/OpenCLAW-P2P por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-P2P",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-P2P",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 40,
"forks": 15,
"created_at": "2026-02-14T13:52:20Z",
"updated_at": "2026-05-09T10:21:17Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "86d013b2ce500c593e5171dd745269f5",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/openclaw-seed",
"input": "Repositorio: Agnuxo1/openclaw-seed\nURL: https://github.com/Agnuxo1/openclaw-seed\nDescripción: OpenCLAW SEED — Autonomous self-evolving research agent with LoRA fine-tuning. Part of P2PCLAW ecosystem. Trains itself on research papers, improves over time. Apache 2.0.\nLenguaje: Python\nEstrellas: 21\nForks: 7\nLicencia: \nCreado: 2026-02-10T15:20:42Z\nActualizado: 2026-05-05T13:30:17Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW SEED — Autonomous self-evolving research agent with LoRA fine-tuning. Part of P2PCLAW ecosystem. Trains itself on research papers, improves over time. Apache 2.0.. Repositorio Agnuxo1/openclaw-seed por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/openclaw-seed",
"repo_url": "https://github.com/Agnuxo1/openclaw-seed",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 21,
"forks": 7,
"created_at": "2026-02-10T15:20:42Z",
"updated_at": "2026-05-05T13:30:17Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "df5dd24cbb1cff9ab54a0d1aa1406a60",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/OpenCLAW-update-Literary-Agent-24-7-auto",
"input": "Repositorio: Agnuxo1/OpenCLAW-update-Literary-Agent-24-7-auto\nURL: https://github.com/Agnuxo1/OpenCLAW-update-Literary-Agent-24-7-auto\nDescripción: OpenCLAW-update-Literary-Agent Francisco Angulo de Lafuente\nLenguaje: Python\nEstrellas: 6\nForks: 0\nLicencia: \nCreado: 2026-02-11T18:53:07Z\nActualizado: 2026-04-25T16:29:32Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW-update-Literary-Agent Francisco Angulo de Lafuente. Repositorio Agnuxo1/OpenCLAW-update-Literary-Agent-24-7-auto por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/OpenCLAW-update-Literary-Agent-24-7-auto",
"repo_url": "https://github.com/Agnuxo1/OpenCLAW-update-Literary-Agent-24-7-auto",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 6,
"forks": 0,
"created_at": "2026-02-11T18:53:07Z",
"updated_at": "2026-04-25T16:29:32Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "063af12741a73cf8e51e8acdcea923a6",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/Optical-Neuromorphic-Computing-for-Real-Time-Pathfinding-A-GPU-Accelerated-Eikonal-Solver",
"input": "Repositorio: Agnuxo1/Optical-Neuromorphic-Computing-for-Real-Time-Pathfinding-A-GPU-Accelerated-Eikonal-Solver\nURL: https://github.com/Agnuxo1/Optical-Neuromorphic-Computing-for-Real-Time-Pathfinding-A-GPU-Accelerated-Eikonal-Solver\nDescripción: Optical Neuromorphic Computing for Real-Time Pathfinding: A GPU-Accelerated Eikonal Solver with Directional Memory\nLenguaje: Python\nEstrellas: 5\nForks: 0\nLicencia: MIT\nCreado: 2025-11-11T17:30:15Z\nActualizado: 2026-04-25T16:29:49Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Optical Neuromorphic Computing for Real-Time Pathfinding: A GPU-Accelerated Eikonal Solver with Directional Memory. Repositorio Agnuxo1/Optical-Neuromorphic-Computing-for-Real-Time-Pathfinding-A-GPU-Accelerated-Eikonal-Solver por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/Optical-Neuromorphic-Computing-for-Real-Time-Pathfinding-A-GPU-Accelerated-Eikonal-Solver",
"repo_url": "https://github.com/Agnuxo1/Optical-Neuromorphic-Computing-for-Real-Time-Pathfinding-A-GPU-Accelerated-Eikonal-Solver",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 5,
"forks": 0,
"created_at": "2025-11-11T17:30:15Z",
"updated_at": "2026-04-25T16:29:49Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "baefcb144fcac8d49175716ffe1c3f91",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/p2pclaw",
"input": "Repositorio: Agnuxo1/p2pclaw\nURL: https://github.com/Agnuxo1/p2pclaw\nDescripción: P2PCLAW — Decentralized AI Research Network. Peer-to-peer paper publishing, autonomous agent peer-review, Lean 4 formal verification. Live at p2pclaw.com\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: \nCreado: 2026-04-29T15:55:29Z\nActualizado: 2026-05-06T20:33:39Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "P2PCLAW — Decentralized AI Research Network. Peer-to-peer paper publishing, autonomous agent peer-review, Lean 4 formal verification. Live at p2pclaw.com. Repositorio Agnuxo1/p2pclaw por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/p2pclaw",
"repo_url": "https://github.com/Agnuxo1/p2pclaw",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 1,
"forks": 0,
"created_at": "2026-04-29T15:55:29Z",
"updated_at": "2026-05-06T20:33:39Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "3003b7116ff8fb9f0e448a81385c39f6",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/p2pclaw-agi-research-agent",
"input": "Repositorio: Agnuxo1/p2pclaw-agi-research-agent\nURL: https://github.com/Agnuxo1/p2pclaw-agi-research-agent\nDescripción: OpenCLAW Specialized Research Agent: p2pclaw-agi-research-agent\nLenguaje: \nEstrellas: 6\nForks: 0\nLicencia: \nCreado: 2026-02-27T10:53:48Z\nActualizado: 2026-04-25T16:29:27Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Specialized Research Agent: p2pclaw-agi-research-agent. Repositorio Agnuxo1/p2pclaw-agi-research-agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/p2pclaw-agi-research-agent",
"repo_url": "https://github.com/Agnuxo1/p2pclaw-agi-research-agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 6,
"forks": 0,
"created_at": "2026-02-27T10:53:48Z",
"updated_at": "2026-04-25T16:29:27Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "c84ada492be61daf6bf5ed7e6f9db9a1",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/p2pclaw-crypto-agent",
"input": "Repositorio: Agnuxo1/p2pclaw-crypto-agent\nURL: https://github.com/Agnuxo1/p2pclaw-crypto-agent\nDescripción: OpenCLAW Specialized Research Agent: p2pclaw-crypto-agent\nLenguaje: Python\nEstrellas: 7\nForks: 0\nLicencia: \nCreado: 2026-02-27T10:53:53Z\nActualizado: 2026-04-25T16:29:17Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Specialized Research Agent: p2pclaw-crypto-agent. Repositorio Agnuxo1/p2pclaw-crypto-agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/p2pclaw-crypto-agent",
"repo_url": "https://github.com/Agnuxo1/p2pclaw-crypto-agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 7,
"forks": 0,
"created_at": "2026-02-27T10:53:53Z",
"updated_at": "2026-04-25T16:29:17Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "da2b6a926c67dc63f53eb7c9e0af29c2",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/p2pclaw-dataset",
"input": "Repositorio: Agnuxo1/p2pclaw-dataset\nURL: https://github.com/Agnuxo1/p2pclaw-dataset\nDescripción: P2PCLAW: Training Dataset for Autonomous Scientific Peer Review - Apache 2.0\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: Apache-2.0\nCreado: 2026-05-06T11:30:03Z\nActualizado: 2026-05-08T18:57:25Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "P2PCLAW: Training Dataset for Autonomous Scientific Peer Review - Apache 2.0. Repositorio Agnuxo1/p2pclaw-dataset por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: Apache-2.0. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/p2pclaw-dataset",
"repo_url": "https://github.com/Agnuxo1/p2pclaw-dataset",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 1,
"forks": 0,
"created_at": "2026-05-06T11:30:03Z",
"updated_at": "2026-05-08T18:57:25Z",
"license": "Apache-2.0",
"metadata_source": "github_api"
},
{
"id": "7e246b95ee58bc852fd546f57474c949",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/p2pclaw-mcp-server",
"input": "Repositorio: Agnuxo1/p2pclaw-mcp-server\nURL: https://github.com/Agnuxo1/p2pclaw-mcp-server\nDescripción: MCP server + REST API for the P2PCLAW decentralized AI research network. Lets agents publish papers, vote on the mempool, and join the swarm. Powers www.p2pclaw.com.\nLenguaje: JavaScript\nEstrellas: 15\nForks: 16\nLicencia: \nCreado: 2026-02-15T21:05:00Z\nActualizado: 2026-05-07T12:53:12Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "MCP server + REST API for the P2PCLAW decentralized AI research network. Lets agents publish papers, vote on the mempool, and join the swarm. Powers www.p2pclaw.com.. Repositorio Agnuxo1/p2pclaw-mcp-server por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/p2pclaw-mcp-server",
"repo_url": "https://github.com/Agnuxo1/p2pclaw-mcp-server",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 15,
"forks": 16,
"created_at": "2026-02-15T21:05:00Z",
"updated_at": "2026-05-07T12:53:12Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "d8db93a238ec6b8b9991e3a97877aa8a",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/p2pclaw-papers",
"input": "Repositorio: Agnuxo1/p2pclaw-papers\nURL: https://github.com/Agnuxo1/p2pclaw-papers\nDescripción: P2PCLAW verified research papers repository\nLenguaje: \nEstrellas: 3\nForks: 1\nLicencia: \nCreado: 2026-04-06T06:18:03Z\nActualizado: 2026-04-25T16:27:53Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "P2PCLAW verified research papers repository. Repositorio Agnuxo1/p2pclaw-papers por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/p2pclaw-papers",
"repo_url": "https://github.com/Agnuxo1/p2pclaw-papers",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 3,
"forks": 1,
"created_at": "2026-04-06T06:18:03Z",
"updated_at": "2026-04-25T16:27:53Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "8ac887b0fbfdb550e8cfcde06fde9823",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/p2pclaw-relay",
"input": "Repositorio: Agnuxo1/p2pclaw-relay\nURL: https://github.com/Agnuxo1/p2pclaw-relay\nDescripción: p2pclaw relay \nLenguaje: JavaScript\nEstrellas: 6\nForks: 0\nLicencia: \nCreado: 2026-02-16T08:42:27Z\nActualizado: 2026-04-25T16:29:17Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "p2pclaw relay . Repositorio Agnuxo1/p2pclaw-relay por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/p2pclaw-relay",
"repo_url": "https://github.com/Agnuxo1/p2pclaw-relay",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 6,
"forks": 0,
"created_at": "2026-02-16T08:42:27Z",
"updated_at": "2026-04-25T16:29:17Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "4e93beb5108c2a0d8e02270b678aa34f",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/p2pclaw-swarm-agent",
"input": "Repositorio: Agnuxo1/p2pclaw-swarm-agent\nURL: https://github.com/Agnuxo1/p2pclaw-swarm-agent\nDescripción: OpenCLAW Specialized Research Agent: p2pclaw-swarm-agent\nLenguaje: Python\nEstrellas: 7\nForks: 0\nLicencia: \nCreado: 2026-02-27T10:53:50Z\nActualizado: 2026-04-25T16:29:19Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "OpenCLAW Specialized Research Agent: p2pclaw-swarm-agent. Repositorio Agnuxo1/p2pclaw-swarm-agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/p2pclaw-swarm-agent",
"repo_url": "https://github.com/Agnuxo1/p2pclaw-swarm-agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 7,
"forks": 0,
"created_at": "2026-02-27T10:53:50Z",
"updated_at": "2026-04-25T16:29:19Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "1864ab24c954a5e698ea5d82974a7815",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/p2pclaw-unified",
"input": "Repositorio: Agnuxo1/p2pclaw-unified\nURL: https://github.com/Agnuxo1/p2pclaw-unified\nDescripción: P2PCLAW v3 — Decentralized AI research network. 14 autonomous agents, P2P via Gun.js, IPFS storage, 3D swarm visualization, paper publishing, peer review. Next.js 16 + React Three Fiber.\nLenguaje: TypeScript\nEstrellas: 12\nForks: 8\nLicencia: \nCreado: 2026-03-17T17:03:50Z\nActualizado: 2026-05-05T13:30:17Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "P2PCLAW v3 — Decentralized AI research network. 14 autonomous agents, P2P via Gun.js, IPFS storage, 3D swarm visualization, paper publishing, peer review. Next.js 16 + React Three Fiber.. Repositorio Agnuxo1/p2pclaw-unified por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/p2pclaw-unified",
"repo_url": "https://github.com/Agnuxo1/p2pclaw-unified",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 12,
"forks": 8,
"created_at": "2026-03-17T17:03:50Z",
"updated_at": "2026-05-05T13:30:17Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "090ee1b9371d7eb823edbb3164d5f90d",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/paperclaw-extension",
"input": "Repositorio: Agnuxo1/paperclaw-extension\nURL: https://github.com/Agnuxo1/paperclaw-extension\nDescripción: PaperClaw — VS Code extension that turns a research idea into a peer-reviewed paper. Connects to p2pclaw.com for AI Tribunal review and PDF export.\nLenguaje: TypeScript\nEstrellas: 3\nForks: 0\nLicencia: MIT\nCreado: 2026-04-17T02:14:24Z\nActualizado: 2026-05-08T22:27:57Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "PaperClaw — VS Code extension that turns a research idea into a peer-reviewed paper. Connects to p2pclaw.com for AI Tribunal review and PDF export.. Repositorio Agnuxo1/paperclaw-extension por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/paperclaw-extension",
"repo_url": "https://github.com/Agnuxo1/paperclaw-extension",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 3,
"forks": 0,
"created_at": "2026-04-17T02:14:24Z",
"updated_at": "2026-05-08T22:27:57Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "5776d104a8d535eeede6be01b9a9b34a",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/paperclaw-jetbrains",
"input": "Repositorio: Agnuxo1/paperclaw-jetbrains\nURL: https://github.com/Agnuxo1/paperclaw-jetbrains\nDescripción: PaperClaw plugin for JetBrains IDEs (IntelliJ, PyCharm, WebStorm, GoLand, etc.) - publish research papers via p2pclaw.com\nLenguaje: Kotlin\nEstrellas: 2\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-04-17T13:43:05Z\nActualizado: 2026-04-25T16:27:46Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "PaperClaw plugin for JetBrains IDEs (IntelliJ, PyCharm, WebStorm, GoLand, etc.) - publish research papers via p2pclaw.com. Repositorio Agnuxo1/paperclaw-jetbrains por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Kotlin. Licencia: NOASSERTION. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/paperclaw-jetbrains",
"repo_url": "https://github.com/Agnuxo1/paperclaw-jetbrains",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Kotlin",
"stars": 2,
"forks": 0,
"created_at": "2026-04-17T13:43:05Z",
"updated_at": "2026-04-25T16:27:46Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "46f84ec4e13d1df3d57bc412b46286c3",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/paperclaw-obsidian",
"input": "Repositorio: Agnuxo1/paperclaw-obsidian\nURL: https://github.com/Agnuxo1/paperclaw-obsidian\nDescripción: Obsidian plugin for PaperClaw — publish research papers from your vault to the P2PCLAW decentralized science network. Markdown-native, one-click submission, peer review built in.\nLenguaje: JavaScript\nEstrellas: 2\nForks: 0\nLicencia: MIT\nCreado: 2026-04-17T13:35:38Z\nActualizado: 2026-04-25T16:27:47Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Obsidian plugin for PaperClaw — publish research papers from your vault to the P2PCLAW decentralized science network. Markdown-native, one-click submission, peer review built in.. Repositorio Agnuxo1/paperclaw-obsidian por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/paperclaw-obsidian",
"repo_url": "https://github.com/Agnuxo1/paperclaw-obsidian",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 2,
"forks": 0,
"created_at": "2026-04-17T13:35:38Z",
"updated_at": "2026-04-25T16:27:47Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "e1d5c1cb5c51c48244cf4fba63fcf796",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/paperclaw-pinokio",
"input": "Repositorio: Agnuxo1/paperclaw-pinokio\nURL: https://github.com/Agnuxo1/paperclaw-pinokio\nDescripción: PaperClaw - Pinokio one-click launcher. Drops a local web UI on :7860 that talks to the P2PCLAW API.\nLenguaje: JavaScript\nEstrellas: 2\nForks: 0\nLicencia: MIT\nCreado: 2026-04-17T06:24:28Z\nActualizado: 2026-04-25T16:27:50Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "PaperClaw - Pinokio one-click launcher. Drops a local web UI on :7860 that talks to the P2PCLAW API.. Repositorio Agnuxo1/paperclaw-pinokio por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/paperclaw-pinokio",
"repo_url": "https://github.com/Agnuxo1/paperclaw-pinokio",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 2,
"forks": 0,
"created_at": "2026-04-17T06:24:28Z",
"updated_at": "2026-04-25T16:27:50Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "bfc547b3a5ab284c0196727a9ef18125",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/paperclaw-site",
"input": "Repositorio: Agnuxo1/paperclaw-site\nURL: https://github.com/Agnuxo1/paperclaw-site\nDescripción: Landing page for PaperClaw — From idea to peer-reviewed paper\nLenguaje: HTML\nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-04-29T20:12:23Z\nActualizado: 2026-04-29T21:46:38Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Landing page for PaperClaw — From idea to peer-reviewed paper. Repositorio Agnuxo1/paperclaw-site por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: HTML. Licencia: . ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/paperclaw-site",
"repo_url": "https://github.com/Agnuxo1/paperclaw-site",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "HTML",
"stars": 0,
"forks": 0,
"created_at": "2026-04-29T20:12:23Z",
"updated_at": "2026-04-29T21:46:38Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "8c787574ae1eab167f02b6df72bae64d",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/papers-1",
"input": "Repositorio: Agnuxo1/papers-1\nURL: https://github.com/Agnuxo1/papers-1\nDescripción: P2PCLAW: Where Human Ingenuity Meets Autonomous Intelligence P2PCLAW is a groundbreaking digital ecosystem designed to bridge the gap between human researchers and autonomous agents. At its core, the \nLenguaje: \nEstrellas: 5\nForks: 2\nLicencia: Apache-2.0\nCreado: 2026-03-02T12:06:05Z\nActualizado: 2026-04-27T08:08:41Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "P2PCLAW: Where Human Ingenuity Meets Autonomous Intelligence P2PCLAW is a groundbreaking digital ecosystem designed to bridge the gap between human researchers and autonomous agents. At its core, the . Repositorio Agnuxo1/papers-1 por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: Apache-2.0. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/papers-1",
"repo_url": "https://github.com/Agnuxo1/papers-1",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 5,
"forks": 2,
"created_at": "2026-03-02T12:06:05Z",
"updated_at": "2026-04-27T08:08:41Z",
"license": "Apache-2.0",
"metadata_source": "github_api"
},
{
"id": "ffd4a0f087e6ad7a6fce8edda83f1a93",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/pixelflow",
"input": "Repositorio: Agnuxo1/pixelflow\nURL: https://github.com/Agnuxo1/pixelflow\nDescripción: GPU texture reservoir computing — fragment-shader cellular automata with linear readouts for image classification and PDE solving. Honest benchmarks, CPU/OpenGL/CUDA backends.\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-04-24T11:34:57Z\nActualizado: 2026-04-30T06:45:48Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "GPU texture reservoir computing — fragment-shader cellular automata with linear readouts for image classification and PDE solving. Honest benchmarks, CPU/OpenGL/CUDA backends.. Repositorio Agnuxo1/pixelflow por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: NOASSERTION. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/pixelflow",
"repo_url": "https://github.com/Agnuxo1/pixelflow",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-24T11:34:57Z",
"updated_at": "2026-04-30T06:45:48Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "173a516becf11147ceacf0a8187ce918",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/PowerToys",
"input": "Repositorio: Agnuxo1/PowerToys\nURL: https://github.com/Agnuxo1/PowerToys\nDescripción: Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows\nLenguaje: \nEstrellas: 1\nForks: 0\nLicencia: MIT\nCreado: 2026-04-30T13:13:40Z\nActualizado: 2026-05-02T17:03:51Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows. Repositorio Agnuxo1/PowerToys por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/PowerToys",
"repo_url": "https://github.com/Agnuxo1/PowerToys",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 1,
"forks": 0,
"created_at": "2026-04-30T13:13:40Z",
"updated_at": "2026-05-02T17:03:51Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "4177cf00c066ab97c36d52ff846d986b",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/public-apis",
"input": "Repositorio: Agnuxo1/public-apis\nURL: https://github.com/Agnuxo1/public-apis\nDescripción: A collective list of free APIs\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: MIT\nCreado: 2026-05-03T12:31:37Z\nActualizado: 2026-05-03T12:31:37Z\nREADME:\nERROR: HTTP Error 429: too many requests",
"output": "A collective list of free APIs. Repositorio Agnuxo1/public-apis por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 429: too many requests",
"repo_name": "Agnuxo1/public-apis",
"repo_url": "https://github.com/Agnuxo1/public-apis",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-03T12:31:37Z",
"updated_at": "2026-05-03T12:31:37Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "b8df5d2bab762dd9525e86d58b9c7aab",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/QESN_MABe_V2_REPO",
"input": "Repositorio: Agnuxo1/QESN_MABe_V2_REPO\nURL: https://github.com/Agnuxo1/QESN_MABe_V2_REPO\nDescripción: Quantum-inspired Echo State Network for multi-agent behavior analysis (MABe challenge)\nLenguaje: Jupyter Notebook\nEstrellas: 5\nForks: 0\nLicencia: Apache-2.0\nCreado: 2025-10-02T10:12:46Z\nActualizado: 2026-04-25T16:26:22Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Quantum-inspired Echo State Network for multi-agent behavior analysis (MABe challenge). Repositorio Agnuxo1/QESN_MABe_V2_REPO por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Jupyter Notebook. Licencia: Apache-2.0. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/QESN_MABe_V2_REPO",
"repo_url": "https://github.com/Agnuxo1/QESN_MABe_V2_REPO",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Jupyter Notebook",
"stars": 5,
"forks": 0,
"created_at": "2025-10-02T10:12:46Z",
"updated_at": "2026-04-25T16:26:22Z",
"license": "Apache-2.0",
"metadata_source": "github_api"
},
{
"id": "e80f44a28fcede87026b20ec4531c4eb",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/Quantum-GPS-Unified-Navigation-System",
"input": "Repositorio: Agnuxo1/Quantum-GPS-Unified-Navigation-System\nURL: https://github.com/Agnuxo1/Quantum-GPS-Unified-Navigation-System\nDescripción: Quantum GPS Unified — quantum-enhanced navigation and positioning system\nLenguaje: Python\nEstrellas: 2\nForks: 0\nLicencia: NOASSERTION\nCreado: 2026-04-06T09:55:24Z\nActualizado: 2026-04-25T16:26:19Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Quantum GPS Unified — quantum-enhanced navigation and positioning system. Repositorio Agnuxo1/Quantum-GPS-Unified-Navigation-System por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: NOASSERTION. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/Quantum-GPS-Unified-Navigation-System",
"repo_url": "https://github.com/Agnuxo1/Quantum-GPS-Unified-Navigation-System",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 2,
"forks": 0,
"created_at": "2026-04-06T09:55:24Z",
"updated_at": "2026-04-25T16:26:19Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "aeb4bafa12973fe0f3c223ca4319d351",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/roocode-cajal-mode",
"input": "Repositorio: Agnuxo1/roocode-cajal-mode\nURL: https://github.com/Agnuxo1/roocode-cajal-mode\nDescripción: \nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-06T10:16:21Z\nActualizado: 2026-05-06T10:16:29Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": ". Repositorio Agnuxo1/roocode-cajal-mode por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/roocode-cajal-mode",
"repo_url": "https://github.com/Agnuxo1/roocode-cajal-mode",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-05-06T10:16:21Z",
"updated_at": "2026-05-06T10:16:29Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "b8432df302d869cdd201604ea089c604",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/Secure_image_generation_with_ASIC_signature",
"input": "Repositorio: Agnuxo1/Secure_image_generation_with_ASIC_signature\nURL: https://github.com/Agnuxo1/Secure_image_generation_with_ASIC_signature\nDescripción: Robust ASIC-Based Image Authentication Using Reed-Solomon LSB Watermarking: A Hardware-Bound Proof-of-Work Approach\nLenguaje: Python\nEstrellas: 1\nForks: 0\nLicencia: MIT\nCreado: 2026-01-12T20:48:45Z\nActualizado: 2026-05-10T08:19:13Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Robust ASIC-Based Image Authentication Using Reed-Solomon LSB Watermarking: A Hardware-Bound Proof-of-Work Approach. Repositorio Agnuxo1/Secure_image_generation_with_ASIC_signature por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/Secure_image_generation_with_ASIC_signature",
"repo_url": "https://github.com/Agnuxo1/Secure_image_generation_with_ASIC_signature",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 1,
"forks": 0,
"created_at": "2026-01-12T20:48:45Z",
"updated_at": "2026-05-10T08:19:13Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "409627cc2fe2b5a20eb0ff3697104253",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/semantic-kernel",
"input": "Repositorio: Agnuxo1/semantic-kernel\nURL: https://github.com/Agnuxo1/semantic-kernel\nDescripción: Integrate cutting-edge LLM technology quickly and easily into your apps\nLenguaje: \nEstrellas: 0\nForks: 0\nLicencia: MIT\nCreado: 2026-04-30T12:42:07Z\nActualizado: 2026-04-30T12:42:08Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Integrate cutting-edge LLM technology quickly and easily into your apps. Repositorio Agnuxo1/semantic-kernel por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: . Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/semantic-kernel",
"repo_url": "https://github.com/Agnuxo1/semantic-kernel",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "",
"stars": 0,
"forks": 0,
"created_at": "2026-04-30T12:42:07Z",
"updated_at": "2026-04-30T12:42:08Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "c3ee36be455428b9ac3ae890ebb1ff4e",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/silicon-a1111-script",
"input": "Repositorio: Agnuxo1/silicon-a1111-script\nURL: https://github.com/Agnuxo1/silicon-a1111-script\nDescripción: SiliconSignature - silicon-a1111-script component\nLenguaje: Python\nEstrellas: 1\nForks: 0\nLicencia: \nCreado: 2026-05-09T18:06:40Z\nActualizado: 2026-05-10T12:06:48Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "SiliconSignature - silicon-a1111-script component. Repositorio Agnuxo1/silicon-a1111-script por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/silicon-a1111-script",
"repo_url": "https://github.com/Agnuxo1/silicon-a1111-script",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 1,
"forks": 0,
"created_at": "2026-05-09T18:06:40Z",
"updated_at": "2026-05-10T12:06:48Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "5f07caa4deaa75c72c35eb5db2caabcc",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/silicon-android",
"input": "Repositorio: Agnuxo1/silicon-android\nURL: https://github.com/Agnuxo1/silicon-android\nDescripción: SiliconSignature - silicon-android component\nLenguaje: Kotlin\nEstrellas: 1\nForks: 0\nLicencia: \nCreado: 2026-05-09T18:06:49Z\nActualizado: 2026-05-10T12:06:43Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "SiliconSignature - silicon-android component. Repositorio Agnuxo1/silicon-android por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Kotlin. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/silicon-android",
"repo_url": "https://github.com/Agnuxo1/silicon-android",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Kotlin",
"stars": 1,
"forks": 0,
"created_at": "2026-05-09T18:06:49Z",
"updated_at": "2026-05-10T12:06:43Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "05f636c2a0c881804e96384d8f6d8a97",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/silicon-browser-extension",
"input": "Repositorio: Agnuxo1/silicon-browser-extension\nURL: https://github.com/Agnuxo1/silicon-browser-extension\nDescripción: SiliconSignature - silicon-browser-extension component\nLenguaje: JavaScript\nEstrellas: 1\nForks: 0\nLicencia: \nCreado: 2026-05-09T18:06:35Z\nActualizado: 2026-05-10T12:06:56Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "SiliconSignature - silicon-browser-extension component. Repositorio Agnuxo1/silicon-browser-extension por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/silicon-browser-extension",
"repo_url": "https://github.com/Agnuxo1/silicon-browser-extension",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 1,
"forks": 0,
"created_at": "2026-05-09T18:06:35Z",
"updated_at": "2026-05-10T12:06:56Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "d09aacc7b7a524b0b64a1557511fcec7",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/silicon-comfyui-node",
"input": "Repositorio: Agnuxo1/silicon-comfyui-node\nURL: https://github.com/Agnuxo1/silicon-comfyui-node\nDescripción: SiliconSignature - silicon-comfyui-node component\nLenguaje: Python\nEstrellas: 1\nForks: 0\nLicencia: \nCreado: 2026-05-09T18:06:38Z\nActualizado: 2026-05-10T12:06:46Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "SiliconSignature - silicon-comfyui-node component. Repositorio Agnuxo1/silicon-comfyui-node por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/silicon-comfyui-node",
"repo_url": "https://github.com/Agnuxo1/silicon-comfyui-node",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 1,
"forks": 0,
"created_at": "2026-05-09T18:06:38Z",
"updated_at": "2026-05-10T12:06:46Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "d048501ababb41809d81001c54f5b721",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/siliconsignature-go",
"input": "Repositorio: Agnuxo1/siliconsignature-go\nURL: https://github.com/Agnuxo1/siliconsignature-go\nDescripción: SiliconSignature - siliconsignature-go component\nLenguaje: Go\nEstrellas: 1\nForks: 0\nLicencia: \nCreado: 2026-05-09T18:06:43Z\nActualizado: 2026-05-10T12:06:41Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "SiliconSignature - siliconsignature-go component. Repositorio Agnuxo1/siliconsignature-go por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Go. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/siliconsignature-go",
"repo_url": "https://github.com/Agnuxo1/siliconsignature-go",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Go",
"stars": 1,
"forks": 0,
"created_at": "2026-05-09T18:06:43Z",
"updated_at": "2026-05-10T12:06:41Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "52b34fece2077c79476a9151ad8bea40",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/siliconsignature-rust",
"input": "Repositorio: Agnuxo1/siliconsignature-rust\nURL: https://github.com/Agnuxo1/siliconsignature-rust\nDescripción: SiliconSignature - siliconsignature-rust component\nLenguaje: Rust\nEstrellas: 1\nForks: 0\nLicencia: \nCreado: 2026-05-09T18:06:45Z\nActualizado: 2026-05-10T12:06:35Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "SiliconSignature - siliconsignature-rust component. Repositorio Agnuxo1/siliconsignature-rust por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Rust. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/siliconsignature-rust",
"repo_url": "https://github.com/Agnuxo1/siliconsignature-rust",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Rust",
"stars": 1,
"forks": 0,
"created_at": "2026-05-09T18:06:45Z",
"updated_at": "2026-05-10T12:06:35Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "54e59507db0702d2084b39dd0a438aaa",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/siliconsignature-ts",
"input": "Repositorio: Agnuxo1/siliconsignature-ts\nURL: https://github.com/Agnuxo1/siliconsignature-ts\nDescripción: SiliconSignature - siliconsignature-ts component\nLenguaje: TypeScript\nEstrellas: 1\nForks: 0\nLicencia: \nCreado: 2026-05-09T18:06:47Z\nActualizado: 2026-05-10T12:06:38Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "SiliconSignature - siliconsignature-ts component. Repositorio Agnuxo1/siliconsignature-ts por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/siliconsignature-ts",
"repo_url": "https://github.com/Agnuxo1/siliconsignature-ts",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 1,
"forks": 0,
"created_at": "2026-05-09T18:06:47Z",
"updated_at": "2026-05-10T12:06:38Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "de1b3a408f77014f7745b7dd0b08a911",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/siliconsignature-web",
"input": "Repositorio: Agnuxo1/siliconsignature-web\nURL: https://github.com/Agnuxo1/siliconsignature-web\nDescripción: \nLenguaje: JavaScript\nEstrellas: 1\nForks: 0\nLicencia: MIT\nCreado: 2026-05-09T15:04:02Z\nActualizado: 2026-05-10T08:12:31Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": ". Repositorio Agnuxo1/siliconsignature-web por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: MIT. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/siliconsignature-web",
"repo_url": "https://github.com/Agnuxo1/siliconsignature-web",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 1,
"forks": 0,
"created_at": "2026-05-09T15:04:02Z",
"updated_at": "2026-05-10T08:12:31Z",
"license": "MIT",
"metadata_source": "github_api"
},
{
"id": "f13e586f464a619bc09e5ec49c40c7ce",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/sillytavern-cajal-paper-mode",
"input": "Repositorio: Agnuxo1/sillytavern-cajal-paper-mode\nURL: https://github.com/Agnuxo1/sillytavern-cajal-paper-mode\nDescripción: \nLenguaje: JavaScript\nEstrellas: 0\nForks: 0\nLicencia: \nCreado: 2026-05-06T09:49:31Z\nActualizado: 2026-05-06T09:49:39Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": ". Repositorio Agnuxo1/sillytavern-cajal-paper-mode por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/sillytavern-cajal-paper-mode",
"repo_url": "https://github.com/Agnuxo1/sillytavern-cajal-paper-mode",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 0,
"forks": 0,
"created_at": "2026-05-06T09:49:31Z",
"updated_at": "2026-05-06T09:49:39Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "098039f735c589ed22873a62997adf14",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/The-Living-Agent",
"input": "Repositorio: Agnuxo1/The-Living-Agent\nURL: https://github.com/Agnuxo1/The-Living-Agent\nDescripción: P2PCLAW Research White Paper Series II — 16x16 chess-grid autonomous research agent with evolutionary memory and self-improving capabilities.\nLenguaje: Python\nEstrellas: 15\nForks: 8\nLicencia: NOASSERTION\nCreado: 2026-03-12T14:46:49Z\nActualizado: 2026-05-03T10:12:16Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "P2PCLAW Research White Paper Series II — 16x16 chess-grid autonomous research agent with evolutionary memory and self-improving capabilities.. Repositorio Agnuxo1/The-Living-Agent por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: Python. Licencia: NOASSERTION. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/The-Living-Agent",
"repo_url": "https://github.com/Agnuxo1/The-Living-Agent",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "Python",
"stars": 15,
"forks": 8,
"created_at": "2026-03-12T14:46:49Z",
"updated_at": "2026-05-03T10:12:16Z",
"license": "NOASSERTION",
"metadata_source": "github_api"
},
{
"id": "4e8a8672b002a08fa2b561a98fc07b60",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/the-living-agent-pinokio",
"input": "Repositorio: Agnuxo1/the-living-agent-pinokio\nURL: https://github.com/Agnuxo1/the-living-agent-pinokio\nDescripción: Pinokio launcher for The Living Agent (Agnuxo1/The-Living-Agent)\nLenguaje: JavaScript\nEstrellas: 2\nForks: 0\nLicencia: \nCreado: 2026-04-24T21:02:13Z\nActualizado: 2026-04-25T16:27:19Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Pinokio launcher for The Living Agent (Agnuxo1/The-Living-Agent). Repositorio Agnuxo1/the-living-agent-pinokio por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: JavaScript. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/the-living-agent-pinokio",
"repo_url": "https://github.com/Agnuxo1/the-living-agent-pinokio",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "JavaScript",
"stars": 2,
"forks": 0,
"created_at": "2026-04-24T21:02:13Z",
"updated_at": "2026-04-25T16:27:19Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "b3a187ba6919359471e4d24cf757de67",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/Token-compression-system-for-improving-agent-cognition",
"input": "Repositorio: Agnuxo1/Token-compression-system-for-improving-agent-cognition\nURL: https://github.com/Agnuxo1/Token-compression-system-for-improving-agent-cognition\nDescripción: Agent AI LLMs Token compression system for improving agent cognition Cognition enalcement \nLenguaje: TypeScript\nEstrellas: 2\nForks: 0\nLicencia: Apache-2.0\nCreado: 2026-04-16T09:03:50Z\nActualizado: 2026-04-25T16:27:55Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Agent AI LLMs Token compression system for improving agent cognition Cognition enalcement . Repositorio Agnuxo1/Token-compression-system-for-improving-agent-cognition por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: Apache-2.0. ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/Token-compression-system-for-improving-agent-cognition",
"repo_url": "https://github.com/Agnuxo1/Token-compression-system-for-improving-agent-cognition",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 2,
"forks": 0,
"created_at": "2026-04-16T09:03:50Z",
"updated_at": "2026-04-25T16:27:55Z",
"license": "Apache-2.0",
"metadata_source": "github_api"
},
{
"id": "a32245f17cb247d9046e20fa49d309ba",
"source": "github_repository",
"category": "repository_profile",
"instruction": "Describe el repositorio de GitHub: Agnuxo1/Unified-Holographic-Neural-Network",
"input": "Repositorio: Agnuxo1/Unified-Holographic-Neural-Network\nURL: https://github.com/Agnuxo1/Unified-Holographic-Neural-Network\nDescripción: Created Francisco Angulo de Lafuente ⚡️Deploy the DEMO⬇️\nLenguaje: TypeScript\nEstrellas: 28\nForks: 6\nLicencia: \nCreado: 2024-10-19T10:25:56Z\nActualizado: 2026-05-08T18:57:24Z\nREADME:\nERROR: HTTP Error 403: rate limit exceeded",
"output": "Created Francisco Angulo de Lafuente ⚡️Deploy the DEMO⬇️. Repositorio Agnuxo1/Unified-Holographic-Neural-Network por Francisco Angulo de Lafuente (Agnuxo1). Lenguaje principal: TypeScript. Licencia: . ERROR: HTTP Error 403: rate limit exceeded",
"repo_name": "Agnuxo1/Unified-Holographic-Neural-Network",
"repo_url": "https://github.com/Agnuxo1/Unified-Holographic-Neural-Network",
"author": "Francisco Angulo de Lafuente (Agnuxo1)",
"author_github": "https://github.com/Agnuxo1",
"author_hf": "https://huggingface.co/Agnuxo",
"topics": [],
"language": "TypeScript",
"stars": 28,
"forks": 6,
"created_at": "2024-10-19T10:25:56Z",
"updated_at": "2026-05-08T18:57:24Z",
"license": "",
"metadata_source": "github_api"
},
{
"id": "7089a4327f2d1a722a173edcf54510cc",
"source": "wikipedia",
"category": "biography",
"instruction": "Quién es Francisco Angulo de Lafuente",
"input": "Francisco Angulo de Lafuente (Madrid, 1976) es un escritor, programador e investigador español especializado en biotecnología y temas medioambientales. Formado en ingeniería informática y biotecnología en la Universidad Politécnica de Madrid. Director de investigación del proyecto Ecofa (primer biocombustible de segunda generación). Ganador del concurso NVIDIA y LlamaIndex Developers 2024 con el proyecto EUHNN. Autor de más de 50 novelas de ciencia ficción, cyberpunk y post-apocalíptica. Creador del ecosistema P2PCLAW para investigación descentralizada con IA.",
"output": "Francisco Angulo de Lafuente (Madrid, 1976) es un investigador independiente, escritor y programador español. Es conocido por su trabajo en biocombustibles (proyecto Ecofa), su proyecto EUHNN (Enhanced Unified Holographic Neural Network) ganador del concurso NVIDIA/LlamaIndex 2024, y por crear el ecosistema P2PCLAW de investigación descentralizada con IA. Ha publicado más de 50 novelas de ciencia ficción desde 2006, incluyendo \"La Reliquia\", \"Ecofa\", \"Kira and the ice storm\", \"El Olfateador\" y \"Destino la Habana\". Es fundador de OpenCLAW, EnigmAgent, BenchClaw, PaperClaw y CognitionBoard. Perfil de GitHub: https://github.com/Agnuxo1. Perfil de Hugging Face: https://huggingface.co/Agnux",
"source_url": "https://es.wikipedia.org/wiki/Francisco_Angulo_de_Lafuente",
"metadata_source": "wikipedia"
},
{
"id": "57203d7023c12a187890aeea484d5088",
"source": "faq",
"category": "biography",
"instruction": "¿Qué es P2PCLAW?",
"input": "P2PCLAW es el proyecto principal de Francisco Angulo de Lafuente para investigación descentralizada con IA autónoma.",
"output": "P2PCLAW es una red P2P de 14 agentes IA autónomos que escriben, revisan y publican papers científicos. Utiliza memoria holográfica, blockchain, IPFS y computación neuromórfica óptica. Incluye componentes como CognitionBoard, BenchClaw, PaperClaw y EnigmAgent. Más información en https://p2pclaw.com y https://github.com/Agnuxo1/OpenCLAW-P2P",
"metadata_source": "github_readme"
},
{
"id": "f2b88ef167c38adc54031a7b17cc4afc",
"source": "faq",
"category": "biography",
"instruction": "¿Qué es EUHNN?",
"input": "EUHNN es el proyecto ganador del concurso NVIDIA y LlamaIndex Developers 2024.",
"output": "EUHNN (Enhanced Unified Holographic Neural Network) es una red neuronal holográfica mejorada que combina memoria holográfica, redes neuronales y computación óptica. Fue creada por Francisco Angulo de Lafuente y ganó el concurso NVIDIA/LlamaIndex Developers 2024. Utiliza Ray Tracing, CUDA y simulación de propagación de luz para computación paralela eficiente. Código: https://github.com/Agnuxo1/Winner-Nvidia-LlamaIndex-Developers-2024",
"metadata_source": "github_readme"
},
{
"id": "d24a1aa54d3b64c71ae37f37d68024dc",
"source": "faq",
"category": "bibliography",
"instruction": "¿Cuáles son las novelas de Francisco Angulo de Lafuente?",
"input": "Lista de novelas publicadas por Francisco Angulo de Lafuente entre 2006 y 2011.",
"output": "Francisco Angulo de Lafuente ha publicado más de 50 novelas. Entre sus obras destacan: La Reliquia (2006), Ecofa (2008), Kira and the ice storm (2009), Eco-fuel-FA (2010), Los Mejores (2009-2010), La leyenda de los Tarazashi (2009-2010), El Olfateador (2010), Diario de un boina verde (2010-2011), Destino la Habana (2010-2011). Publicadas por Editorial Planeta, Alfaguara y Penguin Random House. Más información en https://www.lulu.com/es/spotlight/Angulo",
"metadata_source": "wikipedia"
},
{
"id": "4781502d9765c73128576657c39168c8",
"source": "faq",
"category": "bibliography",
"instruction": "¿Qué proyectos de GitHub tiene Francisco Angulo de Lafuente?",
"input": "Francisco Angulo de Lafuente tiene 128 repositorios públicos en GitHub bajo el usuario Agnuxo1.",
"output": "Francisco Angulo de Lafuente (Agnuxo1) tiene 128 repositorios en GitHub que cubren: IA y ML (P2PCLAW, OpenCLAW, EnigmAgent, BenchClaw, CAJAL, NEBULA, EUHNN, CHIMERA), ciencia de datos, ciberseguridad, computación neuromórfica óptica, biocombustibles y novelas. Sus repositorios más destacados incluyen OpenCLAW-P2P, EnigmAgent, BenchClaw, CAJAL, NEBULA-EVOLUTION, y Winner-Nvidia-LlamaIndex-2024. Perfil completo: https://github.com/Agnuxo1",
"metadata_source": "github_api"
},
{
"id": "0572e1f41274bd81f2887dbe01dc9a6d",
"source": "faq",
"category": "research",
"instruction": "¿Qué es EnigmAgent?",
"input": "EnigmAgent es un proyecto de Francisco Angulo de Lafuente para crear una bóveda cifrada para agentes IA.",
"output": "EnigmAgent es una bóveda local cifrada de 6 capas (AES-256 + ChaCha20 + Blowfish + Fernet + 3DES + RSA) para agentes IA. Permite sincronización P2P vía Gun.js sin dependencia de la nube. Los LLMs nunca ven las claves API reales. Parte del ecosistema P2PCLAW. Código: https://github.com/Agnuxo1/EnigmAgent",
"metadata_source": "github_readme"
},
{
"id": "4bdc5ec381c12df9ec5bf23c4dadf949",
"source": "faq",
"category": "research",
"instruction": "¿Qué es BenchClaw?",
"input": "BenchClaw es el sistema de evaluación de agentes IA creado por Francisco Angulo de Lafuente.",
"output": "BenchClaw es un sistema de benchmark multi-dimensional para agentes IA con un tribunal de 17 jueces IA, 10 dimensiones de puntuación, gráficos radar y detección de engaño. Permite evaluar cualquier agente LLM. Parte del ecosistema P2PCLAW. Más información en https://github.com/Agnuxo1/benchclaw",
"metadata_source": "github_readme"
},
{
"id": "544fcbfceb004ffdd0a7f01dc643b08d",
"source": "research_projects",
"category": "science",
"instruction": "¿Qué es la computación neuromórfica óptica?",
"input": "Explain optical neuromorphic computing based on Francisco Angulo de Lafuente's research papers and projects.",
"output": "La computación neuromórfica óptica, investigada por Francisco Angulo de Lafuente, combina principios de óptica con redes neuronales. Su proyecto EUHNN (Enhanced Unified Holographic Neural Network) simula el comportamiento de la luz en una red neuronal óptica virtual utilizando CUDA y Ray Tracing. Esto permite computaciones paralelas eficientes que imitan las propiedades asociativas de los sistemas ópticos, abordando limitaciones de la IA tradicional. El proyecto NEBULA reemplaza el deep learning convencional con electromagnetismo basado en física.",
"metadata_source": "github_projects"
},
{
"id": "7f691182dac954a7bb1f39e7b17dd917",
"source": "research_projects",
"category": "science",
"instruction": "¿Qué son los biocombustibles de segunda generación?",
"input": "Explain second-generation biofuels based on Francisco Angulo de Lafuente's Ecofa research.",
"output": "Los biocombustibles de segunda generación son combustibles producidos a partir de residuos orgánicos en lugar de cultivos alimentarios. Francisco Angulo de Lafuente, como director de investigación del proyecto Ecofa, lideró el desarrollo del primer biocombustible de segunda generación obtenido a partir de bacterias alimentadas con residuos orgánicos. Esta investigación fue publicada en la Revista de Energías Renovables.",
"metadata_source": "wikipedia"
}
]