AutoGen vs crewAI - Choose the RIGHT framework!

---

---

AI Summary

Summary: Comparison of AutoGan and CrewAI Frameworks

• Auto Jan by Microsoft
  • GitHub Stars: Over 25,000
  • Features:
    • Executes code in Docker containers for safety.
    • Four communication workflows:
      • Two Agent Chat: User proxy and assistant agents collaborate.
      • Sequential Chat: Tasks completed in linear order.
      • Group Chat: Managed by a Group Chat Manager with various strategies.
      • Nested Chat: Side conversations summarized back to the initiator.
  • Strengths:
    • Containerized code execution for safety.
    • Feedback cycle for problem-solving between agents.
• CrewAI
  • GitHub Stars: Over 12,000
  • Features:
    • Expected output specification for tasks.
    • Task delegation among agents.
    • Built on top of L chain with access to built-in tools.
  • Communication Patterns:
    • Sequential: Tasks run in a linear order.
    • Hierarchical: Manager orchestrates communication and task delegation.
  • Strengths:
    • Organized structure with tasks split from agents.
    • Built-in tools and community support from L chain.
• Similarities
  • Both written in Python.
  • Designed to create AI agents.
  • Support multi-agent conversations.
  • Integrate with local large language models (LLMs).
  • Allow human input during execution.
  • Use tools/functions to complete tasks.
• Personal Preference
  • CreAI is easier to understand and more organized.
  • Auto Jan’s containerized execution is a top safety feature.
• Conclusion

  • Autogen for codegeneration and CrewAI for easy task automation