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

DEV Community·udaysaai·28 days 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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