AutomationSoftware development

codex-autoresearch

Drive Codex toward measurable code goals while reverting failed experiments automatically.

Stars
1,982
Forks
117
License
MIT
Updated
Updated Jul 14, 2026

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Project overview

Use Codex Autoresearch when a repository task has a numeric outcome, such as fewer test failures, better coverage, lower latency, or a smaller binary. The skill confirms the target, editable scope, metric command, regression guard, and run mode, then lets Codex try one focused change per iteration. Improvements are committed and retained; failed or regressive trials are reverted through Git, with an auditable event history. It can run interactively or in the background, but each experiment requires a clean named Git branch and sufficient access to create and revert commits.

Repository facts

Primary language
Python
License
MIT
Repository updated
Jul 14, 2026
Default branch
main

Resource types

Automation

Use cases

Software development

Platforms

Codex

Runtime

Local

Capabilities

Verification and evals

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