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LangGraph Review

4.4
Based on extensive testing

LangChain's graph-based framework for building stateful, cyclic agent workflows with loops and persistence.

Best For: Developers building complex stateful AI agent workflows

Quick Stats
Monthly PriceFree
Free TierYes
Models Supported4
Integrations4
API AccessYes
Max UsersUnlimited
Overall Rating
4.4/5
Overall
4.4
Ease of Use
4.2
Performance
4.5
Value for Money
5
About This AI Agent

LangChain's graph-based framework for building stateful, cyclic agent workflows with loops and persistence.

Models Supported
OpenAIClaudeGeminiAny LangChain model
통합
PythonJavaScriptLangChainLangSmith
주요 기능
  • Graph-based workflow orchestration
  • Stateful agent execution
  • Cyclic flows and loops
  • Checkpointing and persistence
  • Human-in-the-loop support
  • Parallel execution
  • LangSmith tracing integration
Pros
  • Free and open-source
  • Graph-based design for complex flows
  • Built-in state persistence
  • Excellent for cyclic workflows
  • Strong LangChain ecosystem integration
Cons
  • Requires understanding of graph concepts
  • More complex than simple agent frameworks
  • Documentation still evolving
  • Python/JS knowledge required
가격 및 플랜
Monthly Plan
Free
/month
Annual Plan
Free
/month
Free Tier Available

Unlimited (open-source)

우리의 평가

LangGraph earns a solid 4.4/5 rating for its capabilities and value proposition. It's one of our Editor's Choice picks for good reason.

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