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How we achieved 970 RPS on AI agent discovery — a complete benchmark report

DEV Community·udaysaai·6 months ago
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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

▶ See Live Demo • Try it now

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 Agent

There are thousands of AI agents being built.…

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