#364 · Primary category: AI Coding Assistants
codex-autoresearch
Codex plugin for autonomous optimization loops with benchmark tracking and memory.
Project last updated:08/29/26
GitHub Stars
835
Forks
59
Contributors
3
License
Apache-2.0
Why we included this project
Most improvement requests in a codebase are really optimization problems: make the tests faster, shrink the bundle, cut memory use. This Codex plugin turns that vague goal into a loop of small experiments, each one measured against a baseline before anything changes. You give it a benchmark command that prints a metric, a set of correctness checks, and a scope boundary, and it records what happened with each attempt, keeping the useful results separate from the dead ends. The payoff is an evidence trail you can actually inspect: session history and reviewable Git branches, rather than a confident claim that things got faster.
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