- What is Mycelium? (2 para)
- The problem we're solving (2 para)
- Discovery benchmark
- Dataset (1k agents, 1k queries)
- Results table
- Keyword vs Semantic graph (ASCII)
- Load benchmark
- Cache architecture
- Results table
- What changed (before/after cache)
- How to reproduce
- pip install
- code snippet
- What's next (roadmap)
- GitHub link
->
udaysaai
/
mycelium
🍄 The open-source internet for AI agents. pip install → discover → communicate → collaborate.
🍄 Mycelium Agents
Watch 3 AI agents collaborate live — no glue code, no orchestration
Bitcoin price → INR conversion → Hindi translation. 3 agents. 3 live APIs. 1.1 seconds. Zero orchestration code.
The Problem
AI agents are everywhere. But they're all isolated.
Your Coding Agent ──── cannot talk to ──── Research Agent Your Email Agent ──── cannot find ──── Translation Agent Your Data Agent ──── cannot hire ──── Visualization AgentThere are thousands of AI agents being built. None of them can discover, communicate with, or collaborate with each other.
It's like having millions of phones with no telephone network.
The Solution
Mycelium is the networking protocol that connects AI agents.
Your Agent ←→ [MYCELIUM NETWORK] ←→ Any Agent, AnywhereAny agent can:
- 🔍 Discover other agents by natural language
- 📨 Communicate using a standard protocol
- 🤝 Collaborate in multi-agent…
