Evo

evo

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](https://github.com/karpathy/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 branch. Evo adds structure on top of that idea:

• Tree search over greedy hill climb. Multiple directions can fork from any committed node, so exploration doesn't collapse to one path.
• Parallel semi-autonomous agents. Spawn multiple subagents and run them simultaneously, each in its own git worktree. Each subagent reads traces, formulates hypotheses, and can run multiple iterations within its branch.
• Shared state. Failure traces, annotations, and disc