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Glossary · AI agent orchestration

What is AI agent orchestration?

AI agent orchestration is coordinating several AI agents so they work as one system: routing each task to the right agent, passing results between them, and handling failures. It decides how agents run. It does not decide what they should build or why. That is direction.

In practice

Say you have one agent that triages a support ticket, one that drafts a reply and one that checks the draft. Orchestration is the layer that sends the ticket to the first, hands its output to the second, sends the draft to the third, and retries or escalates if a step fails.

Anthropic's "Building effective agents" describes the pattern plainly. Routing "classifies an input and directs it to a specialized followup task." In an orchestrator-workers workflow, "a central LLM dynamically breaks down tasks, delegates them to worker LLMs" and then combines what comes back. In classic computing the word means the automated coordination and management of systems, as Wikipedia puts it.

Orchestration is about execution: who runs, in what order, with what input, and what happens when a step breaks. It is not about the work being worth doing. A well-orchestrated set of agents can build the wrong thing very efficiently.

How to tell which one you need

  1. Ask who decides the order of steps inside one run. If code or an orchestrator agent does, that is orchestration.
  2. Ask who decides what gets built this week. If you do, with customer evidence behind it, that is direction.
  3. If your agents are separate tools you start yourself, you mostly need direction: one ranked list and one spec each agent reads.
  4. If your agents call each other inside one application, you need orchestration too.

Common mistakes

  • Treating a smarter orchestrator as a way to decide priorities. It sequences work. It does not know your customers.
  • Adding orchestration before one agent is doing the job. Anthropic recommends starting with the simplest setup that works and adding complexity only when needed.
  • Letting several agents pick their own work with no shared list. They build the same thing twice or build different things.

Why it matters for product builders

If you run agents inside one product you are building, orchestration is a real engineering job, and a framework or an orchestrator agent can do it.

If you run Claude Code, Cursor, Codex and Grok on your own product, you have a different problem. Each one starts without the others' context. Nothing runs them in sequence. The question is not how they hand off to each other. It is what they should each be building, and why.

What changes in AI-first products

Orchestration and direction are two layers, and teams often use one word for both. Orchestration decides how agents run. Direction decides what they should build and why: the ranked priorities, the customer evidence, the decisions already made and the Done When lines.

Annsa is direction, not an orchestrator. It does not run your agents, start them or route work between them. They connect to it over MCP, read the plan, claim a job and record evidence against each Done When line. You can use Annsa alongside any orchestrator, or with none.

See how Annsa does it: AI agent management →

Questions people ask.

Q1

What is the difference between AI agent orchestration and AI agent management?

Orchestration is the machinery that runs agents together: routing, passing results, handling failures. Management is the wider job of deciding what agents work on, who holds each job, and how you check the result. Annsa covers the second: one ranked plan every agent reads.
Q2

What are common AI agent orchestration patterns?

Anthropic describes prompt chaining, routing, parallelization, orchestrator-workers and evaluator-optimizer. Microsoft's architecture guide lists sequential, concurrent, group chat, handoff and magentic patterns. They differ in who decides the next step.
Q3

Is Annsa an orchestrator?

No. Annsa does not run, start or route your agents. Claude Code, Cursor, Codex and Grok connect to it over MCP, read the ranked priorities and specs, claim work and record evidence. It gives them direction. How they run is up to you.
Q4

Do I need orchestration to run several coding agents?

Not to start. Many founders run Claude Code, Cursor and Codex as separate sessions. What they need first is a shared plan so they do not overlap or build different things. Add orchestration when agents must call each other inside one workflow.

Sources

  1. Anthropic EngineeringBuilding effective agents

    Routing, orchestrator-workers and the other workflow patterns, and the advice to start with the simplest setup that works.

  2. The automated configuration, coordination and management of computer systems and software.

  3. Microsoft Azure Architecture CenterAI agent orchestration patterns

    Sequential, concurrent, group chat, handoff and magentic patterns.

Last reviewed 2026-10-21

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