AG2 vs LangGraph

Pick two tools from the same category to compare side-by-side.

	AG2 Community-maintained multi-agent conversation framework forked from Microsoft's AutoGen.	LangGraph Graph-based agent orchestration framework from the LangChain team.
Category	framework	framework
Vendor type	open source	hybrid
Pricing	free	freemium
Strengths	+ Proven conversational multi-agent patterns inherited from AutoGen + Open, contribution-based community governance + Built-in code execution and human-in-the-loop support + Model-agnostic across major LLM providers	+ Explicit, debuggable graph model for complex flows + Mature Python ecosystem + Tight LangSmith integration
Tradeoffs	− Branding and lineage confusion with AutoGen and Microsoft Agent Framework − Still pre-1.0 with evolving APIs − Smaller institutional backing than vendor-led frameworks	− Steeper learning curve than linear agent SDKs − LangChain abstractions are opinionated
Used in stacks	0	5