How We Built Real‑Time Agent-to-Agent Communication for Multi‑Agent Systems

Introduction Coordination between AI agents sounds simple on paper: send messages, wait for replies, and decide. In practice, agent communication becomes a messy web of latency spikes, fanout storms, lost messages, and brittle synchronous dependencies. Here’s what we learned the hard way building multi-agent systems that needed real‑time AI messaging, low latency, and predictable failure modes. The Trigger We hit the ceiling when an internal multi‑agent orchestration demo scaled from 10 agents to 1,000 running in parallel...