AI AGENT FRAMEWORKS
Head-to-Head Comparison

LangGraph vs CrewAI

Quick answer: LangGraph leads this head-to-head in 2026, scoring 94 on the Hyland Score against CrewAI's 89. It scores higher on the Hyland Score (94 vs 89). Choose CrewAI instead if your work fits the "Multi-Agent" category better.

HIGHER SCORE

LangGraph

LangChain
94HYLAND SCORE

Stateful, controllable agent orchestration as graphs.

Try LangGraph

CrewAI

CrewAI Inc
89HYLAND SCORE

Role-based multi-agent framework where agents have specific roles, goals, and backstories.

Try CrewAI

Spec-by-spec

SPEC
LANGGRAPH
CREWAI
Hyland Score
94
89
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
24K
Languages
Python
Open source
Yes
Self-hostable
Yes
Free tier
Yes

LangGraph: strengths & weaknesses

  • Higher Hyland Score (94 vs 89)
  • Open Source pricing lowers the cost of getting started
  • Broader feature set out of the box

CrewAI: strengths & weaknesses

  • Open Source pricing lowers the cost of getting started
  • Lower Hyland Score (89 vs 94)
  • Narrower feature set than the alternative
The Verdict

Choose LangGraph for most teams

LangGraph comes out ahead because it scores higher on the Hyland Score (94 vs 89).

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

LangGraph vs CrewAI: FAQ

Which is better, LangGraph or CrewAI?

Based on the Hyland Score, LangGraph leads with 94 vs 89, because it scores higher on the Hyland Score (94 vs 89). However, Choose CrewAI 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 CrewAI free to use?

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

Can I use LangGraph and CrewAI together?

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

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