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Core Concepts

Agent Orchestration

Agent orchestration is the layer that decides which agent, subagent, tool, or server handles a given piece of work, in what order, and how their results get combined.

SubagentToolMCP serverOrchestrator
An orchestrator routes work to subagents, tools, and MCP servers and assembles their results.

Once a task involves more than one agent, tool, or external server, something has to decide the sequence: which piece runs first, which pieces can run in parallel, what happens if one fails, and how the individual results get merged into a final answer. That coordinating layer is agent orchestration.

Orchestration can be as simple as a fixed script that always calls tool A then tool B, or as involved as a lead agent that dynamically decides, based on the task, which subagents to spawn and which MCP servers to query. The orchestrator itself typically isn't doing the domain work — it's routing, sequencing, and assembling.

Getting orchestration right matters because it's where most of the reliability problems in complex agent setups actually show up: a subagent returning a malformed result, two tool calls racing each other, or a step silently failing are orchestration failures even when each individual agent or tool works correctly on its own.

How it works

The diagram shows an orchestrator at the center directing three kinds of things it might coordinate — a subagent, a tool, and an MCP server — and receiving results back from each. The bidirectional arrows reflect that orchestration is a two-way relationship: the orchestrator issues instructions and also has to handle whatever comes back, including errors.

Example

An orchestrator handling 'triage this bug report' might first call a tool to pull the relevant error logs, then query an MCP server for related past issues, then spawn a subagent to draft a proposed fix using both — sequencing the steps because each one depends on the previous one's output.

How it differs

Agent orchestration is closely related to workflow, but they're not identical: a workflow is often a defined sequence of steps (which may or may not involve agents deciding anything), while orchestration specifically refers to the coordination logic that routes work between multiple agents, tools, or servers — a workflow can be one thing an orchestrator executes.

Common misconceptions

Often assumed: Orchestration only matters for large, complex multi-agent systems.
Actually: Even a single agent calling two or three tools in sequence involves basic orchestration decisions like ordering and error handling.
Often assumed: An orchestrator does the actual domain work itself.
Actually: Typically the orchestrator's job is routing and assembling results — the specialized agents, tools, or servers it coordinates do the domain-specific work.

FAQ

What does agent orchestration mean?
It's the coordination layer that decides which agent, subagent, tool, or server handles a piece of work, in what order, and how the results get combined.
Is agent orchestration the same as a workflow?
They're related but not identical — a workflow is often a defined sequence of steps, while orchestration is the coordination logic that routes work across multiple agents, tools, or servers; a workflow can be what an orchestrator executes.
Why does orchestration matter in multi-agent setups?
Because most reliability problems in complex agent systems — race conditions, malformed results, silent failures — show up at the coordination layer even when each individual agent works correctly.

Last checked: 2026-08-28

Related terms

Multi-Agent System

A multi-agent system is a setup where multiple AI agents, each with a narrower role, work on parts of a larger task and coordinate through some form of orchestration.

Subagent

A subagent is a secondary AI agent that a main agent spawns to handle a specific sub-task, usually with its own focused instructions and tools, and reports back to the agent that spawned it.

Workflow

A workflow is a defined sequence of steps — carried out by an agent, a human, or both — that runs from some starting trigger to a finished result.