dmx vs LLM Status

dmx is an open source AI-native engineering harness. It runs as an MCP server inside Cursor, Claude Code, Copilot, or any IDE that speaks the Model Context Protocol, and...

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

About dmx

dmx is an open source AI-native engineering harness. It runs as an MCP server inside Cursor, Claude Code, Copilot, or any IDE that speaks the Model Context Protocol, and wraps your AI workflows in structured, verifiable loops. The model is fast and often impressive, but the output is inconsistent. Quality depends on how you prompted, whether you remembered to run tests, whether the spec was clear before the first line of code was written. There's just you and the model and whatever happened to work that day.

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.