A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and m...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 100/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Codex
Model
Multiple
Fastest way to find out if codex-autoresearch belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/TheGreenCedar/codex-autoresearchRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/TheGreenCedar/codex-autoresearchNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ codex-autoresearch-2/ ← installs here └─ settings.json
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.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 16, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.