CrewAI vs LangGraph

Detailed side-by-side comparison to help you choose the right tool

CrewAI

🔴Developer

AI Agents

Open-source Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a 'crew' to complete complex tasks.

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Starting Price

Free

LangGraph

🔴Developer

AI agent framework

LangGraph is LangChain's open-source framework for building stateful, durable, multi-agent workflows in Python and JavaScript with graph-based control flow.

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Starting Price

Free

Feature Comparison

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FeatureCrewAILangGraph
CategoryAI AgentsAI agent framework
Pricing Plans29 tiers8 tiers
Starting PriceFreeFree
Key Features
  • Workflow Runtime
  • Tool and API Connectivity
  • State and Context Handling
  • Graph-based workflow orchestration
  • Deterministic state machine execution
  • Human-in-the-loop workflows

CrewAI - Pros & Cons

Pros

  • Most opinionated multi-agent framework — easy to read, easy to maintain
  • Free tier includes the full visual Studio editor and 50 executions/month
  • Trusted by 63% of the Fortune 500 according to CrewAI
  • MCP-native: crews can consume and expose MCP tools
  • Enterprise tier has FedRAMP High and dedicated VPC options that competitors lack
  • Active GitHub community and frequent releases

Cons

  • Less flexible than LangGraph if you need fine-grained control over state transitions
  • Free tier capped at 50 workflow executions per month — easy to hit
  • Enterprise pricing is sales-led with no public numbers, making budget planning hard
  • Hierarchical process can burn tokens fast with a chatty manager agent

LangGraph - Pros & Cons

Pros

  • Open-source library is MIT-licensed and runs anywhere without platform lock-in
  • Native checkpointing makes durable, resumable, human-in-the-loop agents straightforward
  • First-class multi-agent patterns: supervisor, hierarchical, sequential, parallel branches
  • Tight integration with LangSmith for production observability, evaluations, and replays
  • Active maintenance from the LangChain team with frequent releases and strong community

Cons

  • More verbose than LangChain for simple agents — explicit state schemas and edge functions add overhead
  • LangSmith trace pricing ($2.50/1k base traces) is a real cost at production scale
  • LCU + deployment-minute billing makes pricing harder to predict than seat-only competitors
  • Steeper learning curve than role-based frameworks like CrewAI for newcomers
  • Best documented in Python; JavaScript SDK exists but lags in features

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🔒 Security & Compliance Comparison

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Security FeatureCrewAILangGraph
SOC2✅ Yes
GDPR✅ Yes
HIPAA
SSO🏢 Enterprise✅ Yes
Self-Hosted✅ Yes🔀 Hybrid
On-Prem✅ Yes✅ Yes
RBAC🏢 Enterprise✅ Yes
Audit Log✅ Yes
Open Source✅ Yes✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes
Encryption in Transit✅ Yes
Data Residency
Data Retentionconfigurableconfigurable
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