AI AgentsAdvanced

Multi-Agent System

Orchestrate multiple AI agents working together on complex tasks

4-8 weeks
2-5 people
7 tools
Key Tools
CrewAIAutoGenLangGraphAnthropic APIWeaviateLangfuseNeMo Guardrails
Implementation Steps
  1. 1

    Define agent roles and responsibilities clearly

  2. 2

    Choose orchestration pattern: hierarchical, peer-to-peer, or hybrid

  3. 3

    Implement shared memory and context with Weaviate

  4. 4

    Set up inter-agent communication protocols

  5. 5

    Add NeMo Guardrails for safety and content filtering

  6. 6

    Monitor agent interactions with Langfuse tracing

  7. 7

    Test complex scenarios with multiple agent interactions

Expected Outcomes
  • Complex task decomposition and delegation
  • Specialized agents for different domains
  • Scalable agent architecture
  • Robust error handling and recovery
Pro Tips
  • Define clear handoff protocols between agents
  • Limit agent autonomy based on task risk
  • Implement timeout and fallback mechanisms
  • Monitor costs carefully - multi-agent = more tokens
All PlaybooksExplore Tools