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Comparison

CrewAI vs AutoGen vs LangGraph

Three approaches to multi-agent orchestration.

1 min readupdated 2026-07-04

/ quick answer

CrewAI is role-driven, AutoGen is conversation-driven, LangGraph is graph-driven. Pick the metaphor that matches how you think about the problem. Three approaches to multi-agent orchestration.

Three approaches to multi-agent orchestration. CrewAI is role-driven, AutoGen is conversation-driven, LangGraph is graph-driven. Pick the metaphor that matches how you think about the problem. Recommendation: LangGraph for anything you'll ship to real users. CrewAI to prototype fast. AutoGen for research. This comparison node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Overview
CrewAI is role-driven, AutoGen is conversation-driven, LangGraph is graph-driven. Pick the metaphor that matches how you think about the problem.
Differences
DimensionOption AOption B
MetaphorRoles + tasks (CrewAI)Chats (AutoGen) / State graph (LangGraph)
ControlMedium (CrewAI)Emergent (AutoGen) / Explicit (LangGraph)
DebuggabilityOK (CrewAI)Hard (AutoGen) / Best (LangGraph)
Use Cases
  • Fast start, role decomposition → CrewAI
  • Research / emergent behavior → AutoGen
  • Production, deterministic → LangGraph
Recommendation
LangGraph for anything you'll ship to real users. CrewAI to prototype fast. AutoGen for research.
/ frequently asked

What is the difference in CrewAI vs AutoGen vs LangGraph?

CrewAI is role-driven, AutoGen is conversation-driven, LangGraph is graph-driven. Pick the metaphor that matches how you think about the problem.

What are the main points of comparison?

Metaphor: Roles + tasks (CrewAI) vs Chats (AutoGen) / State graph (LangGraph) · Control: Medium (CrewAI) vs Emergent (AutoGen) / Explicit (LangGraph) · Debuggability: OK (CrewAI) vs Hard (AutoGen) / Best (LangGraph)

Which one should I choose?

LangGraph for anything you'll ship to real users. CrewAI to prototype fast. AutoGen for research.

/ topics#ai#agents