Agent Orchestration
Agent orchestration is the coordination of multiple AI agents so they work together on a complex task in a controlled, observable way, deciding which agent runs when and what each one can access.
As tasks outgrow what a single agent can handle reliably, work is split among specialist agents that pass results to one another. The orchestrator routes tasks, manages shared memory and state, resolves conflicts, and keeps the whole system auditable.
Common patterns include sequential, parallel, and hierarchical coordination, often with a lead or orchestration agent that interprets the goal and delegates. This is what turns a collection of isolated agents into a governed system that can run multi-step business processes.
Frequently Asked Questions
An AI agent completes a task. Agent orchestration coordinates several agents toward a larger goal, deciding who runs when and keeping the work governed and observable.