Multiple specialised AI agents collaborate to complete complex tasks — one plans, one researches, one codes, one reviews. Frameworks like AutoGen and CrewAI implement this pattern. Benefits: parallelism, separation of concerns, specialisation. Challenges: inter-agent communication overhead, error propagation, and cost.
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What is multi-agent architecture?
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