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LangGraph

Build stateful, multi-step AI agents and workflows using a graph-based architecture.

LangGraph is LangChain's framework for building controllable, stateful AI agents using a directed graph model. Each node is a processing step (LLM call, tool use, human checkpoint); edges define the flow. This gives developers precise control over agent reasoning, branching logic, state persistence, and cycle-back loops — critical for reliable production agents.

Multi-AgentGraphPythonStateful

Published Feb 5, 2026

Visual coming soon

Use Cases

  • Build agents with explicit decision trees rather than unpredictable LLM chains
  • Persistent agent state across long-running, multi-session workflows
  • Human-in-the-loop nodes for approval before consequential actions
  • Parallel subgraph execution for concurrent research or processing tasks

Specifications

LanguagePython and JavaScript/TypeScript SDKs
State ManagementPersistent checkpointing, resumable runs
DeploymentLangGraph Cloud or self-hosted
LicenseMIT open source

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