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AutoGen vs LangGraph

A head-to-head look at AutoGen and LangGraph across pricing, features, strengths, and weaknesses.

FeatureAutoGenLangGraph
Editorial score★ 4.5 / 5★ 4.6 / 5
PricingFree and open sourceFree and open source
Pros
  • +Battle-tested patterns for agent teamwork
  • +Backed by Microsoft Research
  • +Strong multi-agent conversation patterns for complex workflows
  • +Reliable, controllable agent workflows
  • +Good for complex, stateful agents
  • +First-class persistence, streaming, and human-in-the-loop
Cons
  • −API surface has evolved quickly across versions
  • −Steeper learning curve than single-agent frameworks
  • −Evolving API means older tutorials go stale quickly
  • −More concepts to learn
  • −Graph abstraction is overkill for simple prompts
  • −Fast-moving API; docs can lag behind
VisitView full review →View full review →

Editor’s verdict

AutoGen (Microsoft) focuses on conversational multi-agent patterns with human-in-the-loop and code execution built in; LangGraph provides state-machine-based orchestration with fine-grained control over agent transitions. Choose AutoGen for conversational multi-agent research; choose LangGraph for production workflows needing precise state management.

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