LangGraph
LangGraph is an orchestration framework and runtime for building long-running, stateful agents and controlled agent workflows.
About
LangGraph is an orchestration framework and runtime for building long-running, stateful agents and controlled agent workflows.
Key Features
- Represent agent workflows with state, nodes and transitions.
- Build durable execution and human-review steps into agent applications.
Use Cases
Build application-owned agents with tools, workflow control and model integration.
Setup or Requirements
For Python, install pip install -U langgraph or use uv add langgraph. Define the graph state, nodes and edges, and configure the model and tools the workflow calls. Use the separate JavaScript guide for that runtime.
Compatibility
Python and JavaScript implementations have their own packages and API documentation.
Limitations
LangGraph supplies orchestration primitives; model access and tool integrations are configured by the application.
Sources
- Project documentation: https://docs.langchain.com/oss/python/langgraph/overview
- Setup reference: https://docs.langchain.com/oss/javascript/langgraph/graph-api
Tags
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