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Reviewed visual · version 1

RS Glossary

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
  • 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]].

Public history

45 recorded events · 45 public summaries

  1. A potential shared concept was discussed and selected for initial glossary drafting.

  2. The captured candidate received a complete initial draft and entered section-level human review.

  3. Radar reviewed the initial definition draft for human consideration.

  4. Radar reviewed the initial plain-language-explanation draft for human consideration.

  5. Radar reviewed the initial why-it-matters draft for human consideration.

  6. Radar reviewed the initial example draft for human consideration.

  7. Radar reviewed the initial common-misconception draft for human consideration.

  8. Radar reviewed the initial remember-it-this-way draft for human consideration.

  9. Radar reviewed the initial related-terms draft for human consideration.

  10. Radar reviewed the initial sources draft for human consideration.

  11. Radar reviewed the initial learn-more draft for human consideration.

  12. A proposal was opened for section-level human review while preserving the current version.

  13. A human reviewer opened a proposed revision while preserving the current approved or captured version.

  14. definition approved by a human reviewer.

  15. plain-language-explanation approved by a human reviewer.

  16. why-it-matters approved by a human reviewer.

  17. example approved by a human reviewer.

  18. common-misconception approved by a human reviewer.

  19. remember-it-this-way approved by a human reviewer.

  20. related-terms approved by a human reviewer.

  21. sources returned for revision.

  22. learn-more approved by a human reviewer.

  23. Requested wording was prepared without changing approved or existing sections.

  24. Radar reviewed the pending sources section for human consideration.

  25. Radar must rereview the complete multi-agent-system term after an accepted text change.

  26. Radar must rereview the complete multi-agent-system term after an accepted text change.

  27. Radar must rereview the complete multi-agent-system term after an accepted text change.

  28. Radar must rereview the complete multi-agent-system term after an accepted text change.

  29. Radar must rereview the complete multi-agent-system term after an accepted text change.

  30. Radar must rereview the complete multi-agent-system term after an accepted text change.

  31. Radar must rereview the complete multi-agent-system term after an accepted text change.

  32. Radar must rereview the complete multi-agent-system term after an accepted text change.

  33. Radar must rereview the complete multi-agent-system term after an accepted text change.

  34. sources approved by a human reviewer.

  35. sources approved wording became the current section text.

  36. All section gates are approved; content version 2 is now a fully approved term.

  37. Radar rereviewed the human-approved definition wording for this exact version.

  38. Radar rereviewed the human-approved plain-language-explanation wording for this exact version.

  39. Radar rereviewed the human-approved why-it-matters wording for this exact version.

  40. Radar rereviewed the human-approved example wording for this exact version.

  41. Radar rereviewed the human-approved common-misconception wording for this exact version.

  42. Radar rereviewed the human-approved remember-it-this-way wording for this exact version.

  43. Radar rereviewed the human-approved related-terms wording for this exact version.

  44. Radar rereviewed the human-approved sources wording for this exact version.

  45. Radar rereviewed the human-approved learn-more wording for this exact version.

Source: vault/Glossary/terms/multi-agent-system/term.md · sha256:4ed36c2bfeed61a48e68ce574682adf648ad7ac0da2b324495246301a344861a · Release: rs-glossary-glossary-team-poc-0.5.5-2026-09-02