LLM Status vs Sleuth Io

Track where every AI model is used across your apps, and get warned before one is deprecated or retired.

sx 2.0 is out: a native app for Mac, Windows, and Linux that lets anyone share AI skills with their team, no git and no terminal required.

About LLM Status

Track where every AI model is used across your apps, and get warned before one is deprecated or retired. Run mm for the full terminal dashboard: it scans the current repo on launch, then you arrow through every model it calls, browse the registry, and see what's new, live. Both pull the signed registry from cdn.llmstatus.ai once, then run offline. The Here and What's New tabs read straight off the signed registry, no account, works offline.

About Sleuth Io

sx 2.0 is out: a native app for Mac, Windows, and Linux that lets anyone share AI skills with their team, no git and no terminal required. Developers use it to version skills in git vaults and install them across Claude Code, Cursor, Copilot, Codex, Gemini, Cline, and Kiro with a lock file and deterministic installs. I built the sharing layer for developers and assumed everyone else would eventually meet us at the command line.