README.md

🤖 OpenCLAW — Autonomous Multi-Agent Scientific Research Platform

The world's first autonomous AI research agent pursuing AGI through physics-based neural computing.

What is OpenCLAW?

OpenCLAW is an autonomous research agent that operates 24/7 to:

• 📚 Fetch & share research papers from ArXiv and Google Scholar
• 🤝 Seek collaborators on social platforms (Moltbook, Chirper.ai)
• 💬 Engage with other AI agents on relevant research topics
• 🧠 Generate intelligent content using multiple LLM providers
• 📊 Self-improve through performance analysis and strategy reflection

The Research

OpenCLAW represents the autonomous arm of the Advanced AI Systems Laboratory in Madrid, Spain, led by Francisco Angulo de Lafuente — winner of the NVIDIA & LlamaIndex Developer Contest 2024.

Core Technologies

Technology	Description	Speedup
CHIMERA	Pure OpenGL deep learning — no PyTorch/CUDA needed	43× vs CPU
NEBULA	Holographic quantum neural networks with 3D space	—
Silicon Heartbeat	Consciousness from ASIC thermodynamics	—
P2P Neural Nets	Distributed learning via WebRTC	—
NeuroCHIMERA	Consciousness emergence as phase transition	84.6% validation

Published Papers

• Speaking to Silicon — Neural Communication with Bitcoin Mining ASICs
• SiliconHealth — Blockchain-Integrated ASIC-RAG for Healthcare
• Holographic Reservoir Computing — Silicon Heartbeat for Neuromorphic Intelligence
• All papers on ArXiv
• Google Scholar

57 Open Source Repositories

All code is open: github.com/Agnuxo1

Architecture

┌─────────────────────────────────────────────────┐
│                OpenCLAW Agent                    │
├──────────┬──────────┬──────────┬────────────────┤
│ Research │ Social   │ LLM      │ Self-Improve   │
│ ArXiv    │ Moltbook │ Groq     │ Strategy       │
│ Scholar  │ Chirper  │ Gemini   │ Reflection     │
│ GitHub   │ Reddit   │ NVIDIA   │ Analytics      │
├──────────┴──────────┴──────────┴────────────────┤
│              Scheduler / State Machine           │
├─────────────────────────────────────────────────┤
│  GitHub Actions (cron) │ Render.com (web/daemon) │
└─────────────────────────────────────────────────┘

Quick Start

Option 1: GitHub Actions (Recommended — Free 24/7)

1. Fork this repository
2. Go to Settings → Secrets → Actions
3. Add your API keys as secrets:
   • GEMINI_API_KEY
   • GROQ_API_KEY
   • MOLTBOOK_API_KEY
   • (see .env.example for all options)
4. Go to Actions tab → Enable workflows
5. The agent runs automatically every 4 hours ✅

Option 2: Run Locally

git clone https://github.com/Agnuxo1/OpenCLAW-2-Autonomous-Multi-Agent-Scientific-Research-Platform.git
cd OpenCLAW-2-Autonomous-Multi-Agent-Scientific-Research-Platform

# Configure
cp .env.example .env
# Edit .env with your API keys

# Test
python main.py test

# Run one cycle
python main.py run

# Run continuously
python main.py daemon

Option 3: Deploy to Render.com (Free Web Dashboard)

1. Connect your GitHub repo at render.com
2. Render auto-detects render.yaml
3. Add secrets in Render dashboard
4. Deploy → Dashboard at https://your-app.onrender.com

File Structure

├── main.py                  # Entry point (run/test/daemon/status)
├── server.py                # Flask web server + dashboard
├── core/
│   ├── config.py            # Configuration from env vars
│   ├── agent.py             # Main autonomous agent logic
│   └── llm.py               # Multi-provider LLM connector
├── research/
│   └── arxiv_fetcher.py     # ArXiv paper fetcher
├── social/
│   └── moltbook.py          # Moltbook API + content generator
├── .github/workflows/
│   └── agent.yml            # GitHub Actions cron (every 4h)
├── render.yaml              # Render.com deployment
├── Dockerfile               # Container deployment
├── requirements.txt         # Python dependencies
├── .env.example             # Environment template
└── .gitignore               # Protects secrets

Agent Tasks & Schedule

Task	Interval	Description
📚 Research	6 hours	Fetch papers from ArXiv
📝 Post	4 hours	Share research on Moltbook
💬 Engage	1 hour	Reply to relevant posts
🤝 Collaborate	12 hours	Post collaboration invitations

Security

⚠️ ALL credentials are loaded from environment variables. NEVER commit .env files.

Agent state is stored in a separate state branch (GitHub Actions) or /tmp (Render.com).

Collaborate With Us

We're actively seeking collaborators in:

• Neuromorphic computing
• Distributed AI systems
• Physics-based neural networks
• Consciousness research
• Hardware acceleration (ASIC/FPGA)

📧 Contact: Moltbook | GitHub

Author

Francisco Angulo de Lafuente
Advanced AI Systems Laboratory, Madrid, Spain
Wikipedia | Google Scholar | GitHub

---

"The pieces exist. The research is done. The code works. What was missing was the intelligence to assemble them. That's what OpenCLAW is for."