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title, description, search
| title | description | search | ||
|---|---|---|---|---|
| Reference | API reference for LangGraph |
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Reference
Welcome to the LangGraph reference docs! These pages detail the core interfaces you will use when building with LangGraph. Each section covers a different part of the ecosystem.
!!! tip
If you are just getting started, see [LangGraph basics](../concepts/why-langgraph.md) for an introduction to the main concepts and usage patterns.
LangGraph
The core APIs for the LangGraph open source library.
- Graphs: Main graph abstraction and usage.
- Functional API: Functional programming interface for graphs.
- Pregel: Pregel-inspired computation model.
- Checkpointing: Saving and restoring graph state.
- Storage: Storage backends and options.
- Caching: Caching mechanisms for performance.
- Types: Type definitions for graph components.
- Config: Configuration options.
- Errors: Error types and handling.
- Constants: Global constants.
- Channels: Message passing and channels.
Prebuilt components
Higher-level abstractions for common workflows, agents, and other patterns.
- Agents: Built-in agent patterns.
- Supervisor: Orchestration and delegation.
- Swarm: Multi-agent collaboration.
- MCP Adapters: Integrations with external systems.
LangGraph Platform
Tools for deploying and connecting to the LangGraph Platform.
- SDK (Python): Python SDK for interacting with instances of the LangGraph Server.
- SDK (JS/TS): JavaScript/TypeScript SDK for interacting with instances of the LangGraph Server.
- RemoteGraph:
Pregelabstraction for connecting to LangGraph Server instances.
See the LangGraph Platform reference for more reference documentation.