AI AGENT FRAMEWORKS
Head-to-Head Comparison

LangChain vs LangGraph

Quick answer: LangChain leads this head-to-head in 2026, scoring 96 on the Hyland Score against LangGraph's 94. It scores higher on the Hyland Score (96 vs 94). Choose LangGraph instead if your work fits the "Orchestration" category better.

HIGHER SCORE

LangChain

LangChain Inc
96HYLAND SCORE

The most popular framework for building LLM applications.

Try LangChain

LangGraph

LangChain
94HYLAND SCORE

Stateful, controllable agent orchestration as graphs.

Try LangGraph

Spec-by-spec

SPEC
LANGCHAIN
LANGGRAPH
Hyland Score
96
94
Category
Framework
Orchestration
Pricing
Open Source
Open Source
Open source
Yes
Yes
Self-hostable
Yes
Yes
Languages
Python, JavaScript, TypeScript
GitHub stars
95K
~12K
Open source
Yes
Self-hostable
Yes
Free tier
Yes
Language
Python, TypeScript
Architecture
Graph / state machine
License
MIT

LangChain: strengths & weaknesses

  • Higher Hyland Score (96 vs 94)
  • Open Source pricing lowers the cost of getting started

LangGraph: strengths & weaknesses

  • Open Source pricing lowers the cost of getting started
  • Lower Hyland Score (94 vs 96)
The Verdict

Choose LangChain for most teams

LangChain comes out ahead because it scores higher on the Hyland Score (96 vs 94).

Choose LangGraph instead if your work fits the "Orchestration" category better.

LangChain vs LangGraph: FAQ

Which is better, LangChain or LangGraph?

Based on the Hyland Score, LangChain leads with 96 vs 94, because it scores higher on the Hyland Score (96 vs 94). However, Choose LangGraph instead if your work fits the "Orchestration" category better.

Is LangChain free to use?

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

Is LangGraph free to use?

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

Can I use LangChain and LangGraph together?

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

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