a claude code/codex plugin to run autoresearch on your repository

Dev.to / 4/18/2026

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The article introduces an open-source Claude Code/Codex plugin called Evo that performs “autoresearch” style optimization on a user’s repository using experiments and benchmarks.
It takes a codebase, identifies a benchmark, runs a baseline, then launches multiple parallel agents to try to improve performance, keeping only changes that beat the baseline.
The plugin structures the autoresearch approach with tree search via greedy hill-climbing, parallel execution using Git worktrees, shared failure traces to reduce repeated mistakes, and regression gates to prevent harmful changes.
Each experiment is implemented as a Git worktree branch; improvements that pass scoring and regression gates are committed, while regressions are discarded and cleaned up, with results visible in a local dashboard.
Setup is straightforward via the Claude Code plugin marketplace commands and the project is licensed under Apache 2.0 without requiring additional signups or API keys beyond Claude Code itself.

i built

for those of you who are autoresearch pilled , or have been meaning to get into autoresearch but dont know how. Its an opensource Claude Code & Codex plugin that optimizes code through experiments

you hand it a codebase. it finds a benchmark, runs the baseline, then fires off parallel agents to try to beat it. kept if better, discarded if worse.

inspired by karpathy's autoresearch, but with structure on top:

tree search over greedy hill-climb — multiple forks from any committed node
N parallel agents in git worktrees
shared failure traces so agents don't repeat each other's mistakes
regression gates

under the hood: each experiment is a git worktree branching from its parent. commits on score improvement + gate pass. discards + worktree cleanup on regression. everything observable in a local dashboard

Apache 2.0, no signup, no API keys beyond what Claude Code already has:

/plugin marketplace add evo-hq/evo
/plugin install evo@evo-hq-evo