Persistent memory layer for AI coding agents — current-state retrieval that knows what is still true. Claude Code, Co...
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.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if Lint-AI belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/RooAGI/Lint-AI && cd lint-ai && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf lint-aiNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ lint-ai/ ← clones here
Persistent memory layer for AI coding agents — current-state retrieval that knows what is still true. Claude Code, Codex, Gemini CLI.
Source: GitHub repository
Source check: October 2, 2026
Upstream commit: October 2, 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.