ECC: agent harness performance optimization system, trending on GitHub
Performance system for agent harnesses covering skills, instincts, memory, security and research-first development, gaining over a thousand stars a day on GitHub Trending on October 28.
Why it matters
It treats the harness itself as the product: instead of a smarter model, it optimizes the skills, memory and instincts around the model that decide how fast and how well an agent loop runs.
What you could build with it
A team running coding agents all day could adopt a harness optimizer like this to cut agent-loop latency: measure tokens, tool calls and wall-clock time per task before and after, and keep only the optimizations that move real tasks faster.
Does it hold up?
Too early to judge: star velocity is the only public signal so far; no independent benchmark of harness speedups or production deployment writeup was found.
Built with ECC
- Is GitHub Trending Just AI Agents Now?article · October 28 trending roundup listing ECC with 1,165 stars gained that day, alongside the day's other agent-harness repos.
- AI Repo Acceleration Report, updated 2026-10-28article · Star-velocity report noting TradingAgents and ECC among the week's biggest accelerations against their own prior pace.
Learn more
First spotted on github: source.
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