codex-autoresearch
A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.
At a glance.
A compact read before the deeper capability notes and official setup links.
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Li
Topics: agent-skills, autonomous-agents, autoresearch, code-optimization, codex
GitHub stars: 717
Last pushed: 2026-06-16
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-06-16T16:46:01Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.