LLM Status vs Windrunner

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

Organize hierarchical work items with entries for decisions, findings, answers, and evidence.

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 Windrunner

Organize hierarchical work items with entries for decisions, findings, answers, and evidence. Track status, priority, due dates, assignments, blockers, and typed relationships between work. Ask questions from Home or a project workspace and add project, team, user, or work-item context. Review proposed changes to work items, entries, and relationships before applying them. Create, switch between, rename, delete, and continue separate Ask AI conversations. Find work with full-text search, inspect item history, and follow assignments and activity.