TheGreenCedar/codex-autoresearch
GitHub 仓库 中按Star排名第 610 / 共 783
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.
项目介绍
Install - Try it - How it works - Dashboard - Docs
Most improvement requests start out vague: make this faster, make it smaller, stop it from breaking. Codex can usually produce a plausible change. The harder part is knowing whether the change helped, whether it traded away something important, and whether the next session can pick up the work without guessing what happened.
Codex Autoresearch gives that work a memory and a measuring stick. It runs small experiments against a benchmark, records what happened, and keeps the useful results separate from the dead ends. You can stop after one baseline or let the loop run through several ideas, but either way you get an evidence trail instead…
最新指标
| Star | 830 | 2026-07-16 |
|---|---|---|
| Fork | 59 | 2026-07-16 |
| 提交 | 500 | 2026-07-16 |
| 发布 | 40 | 2026-07-16 |
| Watcher | 0 | 2026-07-16 |
| 开放 issue | 0 | 2026-07-16 |
| 开放 PR | 0 | 2026-07-16 |