Microsoft AutoGenvsLangChain

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

LangChain

AI Agent Frameworks

Framework for building applications with large language models

FeatureMicrosoft AutoGenLangChain
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree (open-source)Free + LangSmith paid
GitHub Stars
35k
More stars
98k
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows
Key Features
  • Multi-agent conversations
  • Code execution
  • Human-in-the-loop
  • Customizable
  • Group chat
  • Chain composition
  • RAG pipelines
  • Agent toolkits
  • Memory systems
  • Streaming
  • Multi-model
  • LangGraph
Pros
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
  • + Massive ecosystem and community
  • + Modular and composable
  • + Supports every major LLM provider
  • + Excellent documentation
  • + LangSmith for monitoring
Cons
  • Complex API for beginners
  • Heavy dependency tree
  • Documentation could be better
  • Resource intensive
  • Can be overly complex for simple tasks
  • Frequent breaking changes
  • Abstraction overhead
  • Steep learning curve
Tags
multi-agentmicrosoftconversationsopen-source
open-sourceframeworkpythonjavascriptragchains

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