evo-hq/evo
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turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
About
Get started with autoresearch on any codebase - with two simple commands.
Do you want to do more with autoresearch or need a custom, hands-on deployment? Request access to evo platform or email hello@evo-hq.com.
A plugin for your agentic framework that optimizes code through experiments
You give it a codebase. It discovers metrics to optimize, sets up the evaluation, and starts running experiments in a loop -- trying things, keeping what improves the score, throwing away what doesn't.
Inspired by Karpathy's autoresearch -- where an LLM runs training experiments autonomously to beat its own best score. Autoresearch is a pure hill climb: try something, keep or revert, repeat on a single…
Excerpted from github.com/evo-hq/evo
Latest metrics
| Stars | 1.3k | 2026-07-16 |
|---|---|---|
| Forks | 99 | 2026-07-16 |
| Commits | 457 | 2026-07-16 |
| Releases | 57 | 2026-07-16 |
| Watchers | 3 | 2026-07-16 |
| Open issues | 9 | 2026-07-16 |
| Open PRs | 7 | 2026-07-16 |