LangGraph Wiki Index

Status: ACTIVE Generated: 2026-05-11 Source: https://docs.langchain.com/oss/python/langgraph/overview + full docs pull

Complete LangGraph documentation, structured for LLM retrieval. 35 pages across 7 sections.

Getting Started

• Overview — What LangGraph is and core concepts
• Install — Installation and setup
• Quickstart — Build your first agent (Graph API + Functional API)

Concepts

• Thinking in LangGraph — The 5-step methodology
• Workflows and Agents — 6 common design patterns
• Application Structure — File layout and langgraph.json
• Durable Execution — Persist and resume workflows
• Fault Tolerance — Retries, timeouts, error handlers
• Persistence — Checkpoints, threads, state management
• Streaming — Stream modes and custom streaming
• Interrupts — Human-in-the-loop patterns
• Memory (Usage Guide) — Short-term and long-term memory
• Memory (Conceptual Overview) — Cognitive memory types
• Products — LangChain vs LangGraph vs Deep Agents

APIs

• Graph API Overview — StateGraph, nodes, edges, Send, Command
• Functional API Overview — @entrypoint, @task, streaming
• Choosing APIs — When to use which API
• Pregel Runtime — Underlying runtime architecture

Guides

• Use the Graph API — Practical patterns: reducers, retries, Send, Command
• Use the Functional API — Practical patterns: chatbot, memory, final()
• Subgraphs — Multi-agent systems, persistence modes
• Time Travel — Replay, fork, interrupts
• Build a RAG Agent — Full agentic retrieval pipeline
• Build a SQL Agent — Database Q&A with human review

Deployment

• LangSmith Deployment — Deploy to LangSmith Cloud
• Run a Local Server — langgraph dev + API testing
• Studio — Visual agent development environment

Frontend

• Frontend Overview — Rendering LangGraph agents in UI
• Graph Execution Cards — Per-node status + streaming
• Agent Chat UI — Next.js chat interface

Testing

• Testing — Unit tests, node isolation, partial execution

Reference

• Changelog — Version history
• Backward Compatibility — Safe production updates
• Case Studies — Companies using LangGraph
• Observability — LangSmith tracing and monitoring