langgraph - Framework for building stateful multi-actor AI agents
LangGraph builds stateful multi-actor AI applications using graph structures, persistence, conditional routing, and ReAct agent patterns.
Tags
Updated: 2026-09-18Capabilities
What this skill does
- Construct state graphs
- Manage state with reducers
- Define nodes and edges
- Route execution conditionally
- Persist state with checkpointers
- Implement human-in-the-loop patterns
- Integrate tools into agents
- Execute tasks asynchronously and streaming
Inputs
- User input messages
- Tool input parameters
- Initial graph state data
Outputs
- Agent response messages
- State updates and findings
- Compiled graph application instance
Requirements
- Python 3.9+
- langgraph package
- LLM API access
- Understanding of graph concepts