LangGraph is a library for building stateful, multi-agent applications that extends the LangChain expression language to support complex AI workflows and agent systems.
Key Features
- State Management - Built-in state persistence and management
- Multi-Agent Collaboration - Support for multiple AI agents working together
- Flow Control - Flexible conditional branching and loops
- Visual Debugging - Graphical workflow visualization
- Streaming - Real-time streaming output support
Core Concepts
Graph Structure
- Nodes - Functions executing specific tasks
- Edges - Control flow between nodes
- State - Data passed between nodes
Agent Patterns
- ReAct Agent - Reasoning and action loops
- Plan-and-Execute - Separated planning and execution
- Multi-Agent - Collaborative agent systems
Applications
- Complex QA systems
- Automated workflows
- Code generation and debugging
- Data processing pipelines
- Customer service bots