# LangGraph ## Docs - [BaseCheckpointSaver](https://mintlify.wiki/langchain-ai/langgraph/api/checkpointing/base.md): Base class for creating graph checkpointers in LangGraph - [PostgresSaver](https://mintlify.wiki/langchain-ai/langgraph/api/checkpointing/postgres.md): PostgreSQL-based checkpoint saver for production LangGraph applications - [SqliteSaver](https://mintlify.wiki/langchain-ai/langgraph/api/checkpointing/sqlite.md): SQLite-based checkpoint saver for LangGraph agents - [Config](https://mintlify.wiki/langchain-ai/langgraph/api/config.md): Configuration types and utilities for LangGraph - [Constants](https://mintlify.wiki/langchain-ai/langgraph/api/constants.md): Core constants and reserved identifiers in LangGraph - [Errors](https://mintlify.wiki/langchain-ai/langgraph/api/errors.md): Error types and exception handling in LangGraph - [Graph Module](https://mintlify.wiki/langchain-ai/langgraph/api/graph.md): Core graph module exports for building LangGraph applications - [MessageGraph](https://mintlify.wiki/langchain-ai/langgraph/api/message-graph.md): Specialized graph for message-based workflows (deprecated) - [create_react_agent](https://mintlify.wiki/langchain-ai/langgraph/api/prebuilt/create-react-agent.md): Factory function for creating ReAct-style agent graphs with tool calling capabilities - [ToolNode](https://mintlify.wiki/langchain-ai/langgraph/api/prebuilt/tool-node.md): A node for executing tools in LangGraph workflows with state injection and error handling - [ValidationNode](https://mintlify.wiki/langchain-ai/langgraph/api/prebuilt/validation-node.md): A node that validates tool calls without executing them, useful for structured output generation - [Pregel](https://mintlify.wiki/langchain-ai/langgraph/api/pregel.md): Low-level runtime for executing LangGraph applications - [StateGraph](https://mintlify.wiki/langchain-ai/langgraph/api/state-graph.md): Build stateful graphs with type-safe state management - [Types](https://mintlify.wiki/langchain-ai/langgraph/api/types.md): Core types and primitives for LangGraph - [CLI Commands](https://mintlify.wiki/langchain-ai/langgraph/cli/commands.md): Complete reference for all LangGraph CLI commands, flags, and options - [Configuration Reference](https://mintlify.wiki/langchain-ai/langgraph/cli/configuration.md): Complete reference for langgraph.json configuration file - [CLI Overview](https://mintlify.wiki/langchain-ai/langgraph/cli/overview.md): Introduction to the LangGraph CLI for building and deploying stateful, multi-actor agents - [Checkpointing](https://mintlify.wiki/langchain-ai/langgraph/concepts/checkpointing.md): State persistence, crash recovery, and time-travel debugging in LangGraph - [Graph Architecture](https://mintlify.wiki/langchain-ai/langgraph/concepts/graphs.md): Understanding LangGraph's computational graph model and the Pregel algorithm - [Human-in-the-Loop](https://mintlify.wiki/langchain-ai/langgraph/concepts/human-in-the-loop.md): Adding human oversight, review, and decision-making to LangGraph workflows - [Nodes, Edges & Control Flow](https://mintlify.wiki/langchain-ai/langgraph/concepts/nodes-edges.md): Building computational graphs with nodes, edges, and dynamic routing - [State Management](https://mintlify.wiki/langchain-ai/langgraph/concepts/state.md): Managing shared state in LangGraph with schemas, reducers, and channels - [Streaming](https://mintlify.wiki/langchain-ai/langgraph/concepts/streaming.md): Real-time output streaming and event-based monitoring in LangGraph - [Building Graphs](https://mintlify.wiki/langchain-ai/langgraph/guides/building-graphs.md): Learn how to build LangGraph graphs step-by-step with nodes, edges, and state - [Debugging](https://mintlify.wiki/langchain-ai/langgraph/guides/debugging.md): Debug LangGraph applications with built-in tools and techniques - [Deployment](https://mintlify.wiki/langchain-ai/langgraph/guides/deployment.md): Deploy LangGraph applications to production - [Interrupts & Human-in-the-Loop](https://mintlify.wiki/langchain-ai/langgraph/guides/interrupts.md): Add human oversight and approval to LangGraph workflows - [Memory](https://mintlify.wiki/langchain-ai/langgraph/guides/memory.md): Implement short-term and long-term memory in LangGraph agents - [Persistence](https://mintlify.wiki/langchain-ai/langgraph/guides/persistence.md): Persist and resume graph execution with checkpointers - [State Management](https://mintlify.wiki/langchain-ai/langgraph/guides/state-management.md): Advanced patterns for managing state in LangGraph applications - [Installation](https://mintlify.wiki/langchain-ai/langgraph/installation.md): Install LangGraph using pip, poetry, or uv package managers - [Introduction to LangGraph](https://mintlify.wiki/langchain-ai/langgraph/introduction.md): Build stateful, multi-actor applications with LLMs using LangGraph's low-level orchestration framework - [Quickstart](https://mintlify.wiki/langchain-ai/langgraph/quickstart.md): Build your first LangGraph application in under 5 minutes - [Build a Conversational Chatbot](https://mintlify.wiki/langchain-ai/langgraph/tutorials/chatbot.md): Create a chatbot with memory and message handling - [Multi-Agent Coordination](https://mintlify.wiki/langchain-ai/langgraph/tutorials/multi-agent.md): Build systems with multiple specialized agents working together - [ReAct Agent Pattern](https://mintlify.wiki/langchain-ai/langgraph/tutorials/react-agent.md): Build an agent that reasons and acts iteratively - [Build a Simple Agent](https://mintlify.wiki/langchain-ai/langgraph/tutorials/simple-agent.md): Create your first LangGraph agent from scratch - [Agents with Tool Calling](https://mintlify.wiki/langchain-ai/langgraph/tutorials/tool-calling.md): Build agents that can use external tools and APIs ## OpenAPI Specs - [openapi](https://mintlify.wiki/langchain-ai/langgraph/api-reference/openapi.json)