LLM Status vs Tenure

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

Asking models to follow fragile system prompts is a losing battle.

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 Tenure

Asking models to follow fragile system prompts is a losing battle. Tenure gives every chat client, IDE, and agent access to institutional knowledge, turns observed agent behavior into policy, enforcing not just what's allowed, but what must be true before it happens. They are blind to whether the agent's actual intent is safe, authorized, or completely rogue. It does not stop a customer-support bot from calling an internal deletion API. An agent may have CRM access without being allowed to update every customer in every situation.