Microsoft AutoGenvsCrewAI

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Microsoft AutoGen

AI Agent Frameworks

Featured

Framework for building multi-agent conversational AI

CrewAI

AI Agent Frameworks

Framework for orchestrating role-based AI agent teams

FeatureMicrosoft AutoGenCrewAI
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree (open-source)Free + Enterprise
GitHub Stars
More stars
35k
25k
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows
Key Features
  • Multi-agent conversations
  • Code execution
  • Human-in-the-loop
  • Customizable
  • Group chat
  • Multi-agent collaboration
  • Role-based agents
  • Task delegation
  • Tool integration
  • Memory
  • Process types
Pros
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
  • + Intuitive role-based agent design
  • + Built-in collaboration patterns
  • + Good documentation and examples
  • + Active development
  • + Simple Python API
Cons
  • Complex API for beginners
  • Heavy dependency tree
  • Documentation could be better
  • Resource intensive
  • Less flexible than raw LangChain
  • Relatively young framework
  • Limited built-in tools
  • Can be expensive with many agents
Tags
multi-agentmicrosoftconversationsopen-source
open-sourcemulti-agentorchestrationpythonteams

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