Agent Frameworks

🎯 AutoGen vs CrewAI

Community Vote — Which tool wins?

AutoGen

Tool A

Open-source multi-agent framework from Microsoft Research with asynchronous architecture, AutoGen Studio GUI, and OpenTelemetry observability. Now part of the unified Microsoft Agent Framework alongside Semantic Kernel.

Starting Price

Free

Key Strengths

  • Free and open source (MIT license) with no usage restrictions or commercial tiers
  • AutoGen Studio provides a visual no-code builder that no other major agent framework offers for free
  • Cross-language support (Python and .NET) serves enterprise teams with mixed codebases
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CrewAI

Tool B

CrewAI is an open-source Python framework for orchestrating autonomous AI agents that collaborate as a team to accomplish complex tasks. You define agents with specific roles, goals, and tools, then organize them into crews with defined workflows. Agents can delegate work to each other, share context, and execute multi-step processes like market research, content creation, or data analysis. CrewAI supports sequential and parallel task execution, integrates with popular LLMs, and provides memory systems for agent learning. It's one of the most popular multi-agent frameworks with a large community and extensive documentation.

Starting Price

Open-source + Enterprise

Key Strengths

  • Role-based crew abstraction makes multi-agent design intuitive — define role, goal, backstory, and you're running
  • Fastest prototyping speed among multi-agent frameworks: working crew in under 50 lines of Python
  • LiteLLM integration provides plug-and-play access to 100+ LLM providers without code changes
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Which would you choose for...

Vote in each scenario below

Customer support agents

Data pipeline automation

Quick prototyping

Production deployment

Full Comparison →