LLM Status vs Substructure

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

subs is an agent harness for the cloud. It runs an unprivileged agent loop with no system access. It uses MCP servers for tools. It can run locally or as a client and server.

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 Substructure

subs is an agent harness for the cloud. It runs an unprivileged agent loop with no system access. It uses MCP servers for tools. It can run locally or as a client and server. Create the project from the file, then give it your LLM key. Configure the engine to send a webhook to your system and take complete control over the agent loop and Slack agent behavior. You handle a webhook, customizing just the steps you care about.