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What is Multi-Agent Orchestration

Definition

Multi-agent orchestration is the coordination of multiple AI agents working together on a task, assigning roles, managing communication, and sequencing their actions so that specialised agents collaborate to solve problems more complex than any single agent could handle alone.

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Coordinates specialised agents to tackle complex tasks together
Divides work so each agent handles what it does best
Manages communication and sequencing between agents
Scales to problems beyond a single agent’s capability

Real World Example

A research assistant uses multi-agent orchestration where one agent searches sources, another summarises, and a third checks consistency, coordinated so their combined output is more thorough than one agent could produce.

FAQs

What is multi-agent orchestration?

Coordinating multiple AI agents, with roles, communication, and sequencing, to collaborate on complex tasks.

Why use multiple agents?

Specialised agents dividing and coordinating work can solve problems too complex for a single agent.

What does orchestration manage?

Role assignment, inter-agent communication, task sequencing, and combining the agents' outputs.