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Artificial Intelligence•January 18, 2024•10 min read

AI Agent Orchestration: Building Multi-Agent Systems

Multi-agent systems coordinate specialized AI agents for complex task completion.

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Multi-agent systems distribute work across specialized agents. Orchestrators coordinate agent communication. Each agent focuses on specific capabilities. Together they solve problems beyond single-agent capacity.

Architecture Patterns

Supervisor agents delegate to worker agents. Peer agents collaborate on shared goals. Hierarchical systems enable complex workflows. Message passing enables agent communication.

  • Design agents with clear, focused responsibilities
  • Implement robust inter-agent communication
  • Use supervisor patterns for complex workflows
  • Handle failures gracefully with retries and fallbacks
  • Monitor agent interactions for debugging

Practical Considerations

Start simple—add agents only when needed. Define clear interfaces between agents. Test agent interactions thoroughly. Monitor for unexpected emergent behaviors.

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ai-agentsmulti-agentorchestrationllmautonomous-systems