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Multi-Agent System

Reviewed 19 July 2026 Canonical definition Part of: Agent Orchestration & Workflow Terms →

A multi-agent system is an architecture in which multiple AI agents collaborate or compete to complete tasks that are too complex for a single agent. Agents may act as orchestrators, specialists, critics, or executors, passing context, delegating sub-tasks, and aggregating results. Multi-agent systems require governance at both the individual agent level and at the interaction layer, where data flows, permission grants, and action chains cross agent boundaries.

§01 / QUESTIONSterm: Multi-Agent System
Questions

Common questions.

What is Multi-Agent System?

A multi-agent system is an architecture in which multiple AI agents collaborate or compete to complete tasks that are too complex for a single agent.

How does Multi-Agent System work?

Agents may act as orchestrators, specialists, critics, or executors, passing context, delegating sub-tasks, and aggregating results. Multi-agent systems require governance at both the individual agent level and at the interaction layer, where data flows, permission grants, and action chains cross agent boundaries.

Which terms are related to Multi-Agent System?

Closely related concepts include Orchestrator Agent, Multi-Agent Collaboration, Agent Mesh, Delegation Control. Each is defined in the Prefactor glossary.

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Where this fits.

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