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Review Multi-Agent System

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Definition

A multi-agent system is an arrangement in which multiple agents interact, coordinate, compete, or divide roles while pursuing individual or shared objectives.
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Plain-Language Explanation

Instead of asking one agent to do everything, a system may assign separate agents to research, plan, act, or review. Their communication and shared state become part of the system design.
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Why It Matters

Adding agents can improve specialization or checks, but it also creates more handoffs, duplicated errors, coordination costs, permissions, and failure paths.
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Example

One agent drafts a plan, another checks it against policy, and a third prepares proposed actions that still require human approval.
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Common Misconception

More agents do not automatically produce better or independent judgment. Agents may share the same model, context, assumptions, or failure modes.
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Remember It This Way

More agents create a coordination system, not automatic wisdom.
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Related Terms

* [[ai-agent|AI Agent]] * [[orchestration|Orchestration]] * [[handoff|Handoff]] * [[independent-verification|Independent Verification]] * [[distributed-commitment|Distributed Commitment]]
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Sources

* [NIST, AI Agent Standards Initiative](https://www.nist.gov/artificial-intelligence/ai-agent-standards-initiative) — official standards work on interoperable and secure AI-agent systems.
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Learn More

* Evaluate whether a reviewer is actually independent with [[independent-verification|Independent Verification]].
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