LangGraph

Graph-based framework for stateful, multi-actor AI agent applications.

Open Source Coding & Development
Visit Website ↗ by LangChain

What is LangGraph?

LangGraph is LangChain's framework for building stateful agents as graphs: nodes, edges, cycles, persistence, and human-in-the-loop. It powers multi-actor agents and long-running workflows that plain chains cannot express. With 42K+ stars, it is the standard way to build durable, controllable agent systems in the LangChain ecosystem.

Key features

  • Graph-based agent orchestration (nodes, edges, cycles)
  • State persistence and checkpointing
  • Human-in-the-loop interrupts
  • Multi-actor and parallel execution
  • Python and TypeScript support

Pros

  • Best-in-class control over agent flow
  • Persistence and streaming built in
  • Backed by LangChain with strong docs

Cons

  • Steeper learning curve than simple chains
  • Overkill for single-shot LLM tasks
  • API surface still evolving

LangGraph at a glance

PricingOpen Source
CategoryCoding & Development
Platformsapi
CompanyLangChain
Official websitegithub.com
frameworkmulti-agentstatefullangchainorchestration

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LangGraph FAQs

What is LangGraph?

LangGraph is LangChain's framework for building stateful agents as graphs: nodes, edges, cycles, persistence, and human-in-the-loop. It powers multi-actor agents and long-running workflows that plain chains cannot express. With 42K+ stars, it is the standard way to build durable, controllable agent systems in the LangChain ecosystem.

What are the main features of LangGraph?

LangGraph offers Graph-based agent orchestration (nodes, edges, cycles), State persistence and checkpointing, Human-in-the-loop interrupts, Multi-actor and parallel execution and Python and TypeScript support.

How much does LangGraph cost?

LangGraph is open source, so the software itself is free to download, use and self-host. Your only costs are the infrastructure you run it on and any paid services you connect to it.

What are the pros and cons of LangGraph?

Strengths of LangGraph include Best-in-class control over agent flow; Persistence and streaming built in; Backed by LangChain with strong docs. On the downside, Steeper learning curve than simple chains; Overkill for single-shot LLM tasks; API surface still evolving.