Multi-Agent Orchestration Explained: How Agents Coordinate

Multi-agent orchestration coordinates specialized agents into a single workflow by defining handoffs, preserving shared context, and using triggers such as status changes, webhooks, schedules, or human approvals to determine the next action. Unlike standalone agents that require people to manually choose tools and re-explain prior work, orchestrated systems automate routing, select appropriate models or execution harnesses by task, establish approval checkpoints, and centralize pipeline visibility. The text argues that effective orchestration is a control-system challenge rather than merely a dashboard feature, because it must encode decisions such as returning failed reviews to implementation or escalating sensitive changes. Warp Factories illustrates this approach through a foreman agent that routes work among triage, specification, implementation, and review subagents while carrying context forward, supporting multiple models and harnesses, and recording decisions for auditability. Teams are advised to begin with a simple triage-to-implementation workflow, add review once it is reliable, and expand only after measuring quality and cost.

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