Four differently colored robots sit around a shared four-part puzzle board with one section blank and a flag at the centre. Each robot holds a different tool, and two-way dashed arrows connect neighboring robots.
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Concept dictionary

Multi-Agent System

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

Review state
Reviewed in POC
Freshness
Current
Version
2

Also called

  • Multi-Agent System
  • Multi-Agent Systems

Remember it this wayMore agents create a coordination system, not automatic wisdom.

In plain language

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.

Why it matters

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

Example

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

Common misconception

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

Related terms

Sources

Learn more

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

Reviewed in POC · last human review 2026-08-12 · content version 2 · visual version 1

Source and POC details

Source: learning-library/glossary/terms/multi-agent-system/term.md

Source hash: sha256:4ed36c2bfeed61a48e68ce574682adf648ad7ac0da2b324495246301a344861a

Media: POC-reviewed evidence; RS AI Learning Lab, Owned production asset.

Release: glossary-team-poc-0.5.5-2026-09-02 · not production approved