A single AI agent can reason — but a coordinated group of agents can solve systems-level problems.

Multi-agent orchestration introduces roles, communication protocols, task delegation, and conflict resolution. Think of it as distributed systems meets cognitive architecture.

Production-grade orchestration requires message queues, shared memory, vector databases, and governance layers to prevent runaway behavior.