Why QIS Is Not a Sync Problem: The Mailbox Model for Distributed Intelligence

You have built something with LangGraph. Or AutoGen. Or CrewAI. You know the failure mode: one agent stalls, one tool times out, one orchestrator loses track of state, and the whole pipeline hangs. You write retry logic. You add timeouts. You instrument everything. The agents get smarter but the coordination overhead grows faster than the intelligence does. This is not a tooling problem. It is a structural problem. The architecture assumes a call. The Call Model Every major distributed AI framework today is built on synchronous coordination. You have N agents.