Explore/framework/codex-autoresearch
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TheGreenCedar/codex-autoresearchActive

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.

frameworkTypeScriptApache-2.0
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OverviewActivity52wAlternativesDocs
Stars836
Forks59
HF Downloads30d
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Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesApache-2.0Verify license before production use.
AgentHub Score
75 / 100
Composite score from 6 signals. How we score →
Active project
75Score
Growth
93A+
Activity
96A+
Documentation
70C+
Maturity
77B
Community
92A
Production
58C
GitHub stars · 35 days observed836 +0.72% / 30d
snapshots
Repository activity · 35 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-08-31
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguageTypeScript
LicenseApache-2.0
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

75
Score 75/100
Above average

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