AI AGENT FRAMEWORKS
Head-to-Head Comparison

LangGraph vs AutoGen

Quick answer: LangGraph leads this head-to-head in 2026, scoring 94 on the Hyland Score against AutoGen's 94. It edges ahead overall in our scoring. Choose AutoGen instead if your work fits the "Multi-Agent" category better.

HIGHER SCORE

LangGraph

LangChain
94HYLAND SCORE

Stateful, controllable agent orchestration as graphs.

Try LangGraph

AutoGen

Microsoft
94HYLAND SCORE

Microsoft multi-agent conversation framework enabling complex LLM applications through agent collaboration.

Try AutoGen

Spec-by-spec

SPEC
LANGGRAPH
AUTOGEN
Hyland Score
94
94
Category
Orchestration
Multi-Agent
Pricing
Open Source
Open Source
Open source
Yes
Yes
Self-hostable
Yes
Yes
Language
Python, TypeScript
Architecture
Graph / state machine
License
MIT
GitHub stars
~12K
32K
Languages
Python
Open source
Yes
Self-hostable
Yes
Free tier
Yes

LangGraph: strengths & weaknesses

  • Open Source pricing lowers the cost of getting started
  • Broader feature set out of the box

AutoGen: strengths & weaknesses

  • Open Source pricing lowers the cost of getting started
  • Narrower feature set than the alternative
The Verdict

Choose LangGraph for most teams

LangGraph comes out ahead because it edges ahead overall in our scoring.

Choose AutoGen instead if your work fits the "Multi-Agent" category better.

LangGraph vs AutoGen: FAQ

Which is better, LangGraph or AutoGen?

Based on the Hyland Score, LangGraph leads with 94 vs 94, because it edges ahead overall in our scoring. However, Choose AutoGen instead if your work fits the "Multi-Agent" category better.

Is LangGraph free to use?

LangGraph uses a Open Source pricing model. It is open source. It can be self-hosted.

Is AutoGen free to use?

AutoGen uses a Open Source pricing model. It is open source. It can be self-hosted.

Can I use LangGraph and AutoGen together?

Yes — many teams combine them. LangGraph strengths: python, typescript, stateful. AutoGen strengths: python, coding, research. Evaluate both against your actual workload before standardizing on one.

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