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Agent orchestration

Agent orchestration is the coordination of multiple AI agents working on shared tasks: routing work to the right agent, handing off context between steps, preventing two agents from editing the same resource, and logging every decision for human review. The coordinator can be a lead agent or plain code.

Updated 3 min readBy fromHello

Key takeaways

  1. Agent orchestration covers four jobs: routing tasks, handing off context, preventing write conflicts, and logging decisions.

  2. Without an orchestrator, parallel agents duplicate work and overwrite each other — coordination is what makes multi-agent output trustworthy.

  3. A decision log with the reasoning is what lets a person check agent work and correct it.

How does agent orchestration work?

An orchestration layer sits above the individual agents and handles four jobs. It routes each task to the agent best suited for it. It manages handoffs, passing context from one agent to the next so work does not restart from zero. It prevents conflicts — typically with locks or task ownership, so two agents never write the same resource at once. And it records every decision in a log a human can read. Anthropic's multi-agent research system and OpenAI's Agents SDK both formalize this as an orchestrator-worker (or manager) pattern: one coordinating agent delegates to worker agents and synthesizes their results.

Four building blocks of agent orchestration.

Why do multiple agents need an orchestrator?

Because parallel autonomy fails without coordination. Two agents that both edit the same email template produce a mangled template. Two agents that both message the same customer produce spam. An orchestrator serializes writes, deduplicates work, and keeps every agent aligned on the same goals. This is also part of what separates agents from chatbots: a chatbot answers you, while orchestrated agents act on shared systems — which only stays safe if something coordinates them.

What does agent orchestration look like in a marketing platform?

Often, the orchestrator sits outside the platform. A team runs its own agent in an MCP client such as Claude Code or Cursor, and the platform exposes tools over the Model Context Protocol: create a segment, draft a journey, read a report. The client sequences the calls; the platform sets the limits: which actions exist and which need a confirmation step (publishing a journey, for example). The platform can also write every call to an audit log.

What should a human be able to audit?

Everything the agents changed, and why. A usable decision log records the action, the agent that took it, the inputs it relied on, and the reasoning — not just a timestamp. Human-in-the-loop oversight pairs that log with a confirmation step: the step holds actions that are hard to undo until someone confirms them, and the log is how you trace everything else afterwards. Orchestration without an auditable trail is just automation you cannot inspect.

FAQ

Common questions

  • What is the difference between agent orchestration and a multi-agent system?

    A multi-agent system is the set of agents itself; orchestration is the coordination layer that makes them work as one — routing tasks, sharing context, preventing conflicts, and logging decisions. You can have multiple agents without orchestration, but not for long without collisions.

  • Is agent orchestration the same as workflow automation?

    No. Workflow automation executes steps you defined in advance. Orchestrated agents decide their own steps within constraints, and the orchestrator coordinates those decisions rather than scripting them.

  • How does an orchestrator prevent two agents from overwriting each other?

    Common mechanisms are resource locks, task ownership, and serialized writes: an agent claims a resource — a segment, a template, a journey — before editing it, and other agents must wait or work elsewhere.

  • Does agent orchestration remove the human from the loop?

    No. Orchestration decides how the agents coordinate, and its decision log lets a person check the agents' work afterwards. Whether an action waits for human confirmation before it takes effect is a separate design choice.

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