evo-hq/evo

Health v2 · maintenance only

Adoption not part of the score

1467 stars · 115 forks observed · 2026-10-13

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Evo is a plugin for agentic coding frameworks (Claude Code, Codex, Cursor, etc.) that turns a codebase into an autoresearch loop: it discovers what to measure, instruments benchmarks, and runs tree search with parallel subagents in isolated git worktrees. Experiments that improve a metric are kept, regressions are discarded, and gating plus a dashboard provide safety and observability.

Use cases

• automatically optimize my codebase with an LLM agent loop
• run parallel AI agents to improve a benchmark score
• discover what metrics to optimize in my repo
• set up an autoresearch hill climb with tree search
• optimize a JSON parser speed automatically
• run experiments in git worktrees with subagents
• add regression gates to autonomous code experiments
• monitor autonomous optimization experiments on a dashboard

When to choose

• you use Claude Code, Codex, Cursor, or a similar agentic CLI and want autonomous code optimization
• you have a measurable benchmark or metric and want an LLM to iteratively improve it
• you want parallel exploration via tree search instead of a single greedy hill climb
• you need regression gates and observability around autonomous experiments

When to avoid

• you have no objective metric or benchmark to optimize against
• your codebase cannot run safely in automated experiments or sandboxes
• you need a hosted inference-routing product rather than a local optimization loop (the evo-hq.com Router is a separate offering)
• you want fully deterministic, non-LLM optimization

Facets

plugin · maturity active

agent-framework benchmarking developer-tools cli workflow-automation llm-inference developer-tools artificial-intelligence performance python cli cross-platform cloud autoresearch evolutionary-algorithms tree-search claude-code codex code-optimization subagents git-worktrees llm-agents experiment-loop automation ai-agents docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="evo-hq/evo")