Orchestrator-Worker Pattern
ELI5 - The Vibe Check
This is a project manager who breaks a big job into tickets, hands each one to a specialist, and stitches the finished pieces back into one result, except the project manager and every specialist are AI agents. Nobody works on the whole problem alone, and the boring coordination overhead of a human team gets automated right along with the work itself.
Real Talk
The orchestrator-worker pattern is a multi-agent topology where a top-level orchestrator agent decomposes a task, dispatches subtasks to worker subagents running in parallel or in sequence, and aggregates their results into a final output. It's the dominant pattern for parallelizable agentic coding work, such as large-scale refactors across many files or research fan-out across many sources.
Show Me The Code
subtasks = orchestrator.plan(task)
results = await asyncio.gather(*[
worker_agent.run(subtask) for subtask in subtasks
])
final_report = orchestrator.synthesize(results)
When You'll Hear This
"The orchestrator split the refactor into 12 files and ran the workers in parallel." / "One orchestrator, five workers, done in a tenth of the time."
Related Terms
Agent Fleet
An agent fleet is a whole bunch of AI agents running in production — each handling one kind of task, all of them at once.
Agent Swarm
An agent swarm is multiple AI agents working in parallel on different parts of a problem. Like a small dev team, except every member is a model.
Multi-Agent
Multi-agent means multiple AI agents working together, each handling a different task.
Subagent
A subagent is a junior teammate you delegate a chunk of work to.