#364 · Primary category: AI Coding Assistants

codex-autoresearch

agent-skills autonomous-agents autoresearch code-optimization codex llm-agents

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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