langgraph - Framework for stateful multi-actor AI applications
Builds stateful multi-actor AI applications using graph construction, state management, checkpointers, and human-in-the-loop patterns.
Tags
Updated: 2026-09-18Capabilities
Typical Inputs
What this skill does
- Construct state graphs
- Manage state using reducers
- Define graph nodes and edges
- Implement conditional routing
- Configure checkpointers and persistence
- Apply human in the loop patterns
- Integrate tools into agents
- Execute streaming and async graphs
Inputs
- User messages
- Tool definitions
- LLM API credentials
Outputs
- Graph state updates
- Agent response messages
- Tool execution results
Requirements
- Python 3.9+
- langgraph package
- LLM API access