Builds the detection engine and the agent surface. Spent enough on-call nights staring at queue charts to want a better answer.
We stopped building dashboards.
Qarote started as a faster way to watch RabbitMQ. Then we noticed how our own users were actually working — not in our tabs, but in their editors, talking to an AI agent.
So we rebuilt around that. Qarote is now agent-first RabbitMQ incident diagnosis: a deterministic rules engine finds incidents, an LLM explains root cause, and all of it is exposed to your agent over MCP. You debug by asking — not by clicking through charts.
Close the gap between detection and understanding.
Knowing a queue is backed up is easy. Knowing why, fast, at 3 a.m., is the hard part — and it's where on-call time actually goes. We want that answer to arrive in the same place you already work.