LangGraph
by LangChain Labs
Build stateful multi-agent workflows as graphs
LangGraph is a framework for building stateful, multi-actor applications with LLMs. It extends LangChain with the ability to coordinate multiple chains/actors across cyclic graph structures with built-in persistence and state management.
🎯 Key Features
Graph-based workflow definition
Built-in state management
Support for cycles and recursion
Parallel node execution
Streaming support
Human-in-the-loop
Time travel debugging
Checkpointing and persistence
Strengths
Most flexible for complex workflows
Excellent state management
Strong community and ecosystem
Great documentation
Production-ready features
Built-in persistence
Limitations
Steeper learning curve
More verbose than simpler frameworks
Requires understanding of graphs
Python/TypeScript only
Best For
- Complex multi-agent systems
- Applications requiring state management
- Cyclic workflows
- Production applications
- Teams already using LangChain
Not Recommended For
- Simple chatbots
- Beginners to agent development
- Single-step tasks
- Non-Python/TypeScript projects