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langgraph

LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.

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Platforms: APISelf-hosted
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 33.9k
Source
GitHub
Added
2026-06-04
Last verified
2026-06-04
langgraph

Overview

LangGraph is a low-level orchestration framework designed for building, managing, and deploying long-running, stateful agents. It addresses challenges in development such as persistent execution, human intervention, and comprehensive memory management. With LangGraph, developers can create agents that automatically recover from failures and run continuously over extended periods, while enabling seamless human supervision and state modification during execution. This tool is ideal for developers aiming to build complex, reliable agent systems.

Key features

  • Supports persistent execution
  • Enables human-in-the-loop cycles
  • Provides comprehensive memory management
  • Integrates debugging and visualization tools
  • Production-ready deployment

Use cases

Building complex AI agent systemsDeveloping long-running task processing workflowsAdding intelligent interaction capabilities to applications

Pros

  • Easy integration with other LangChain products
  • Supports high-level state management
  • Strong fault recovery capabilities

Limitations / notes

  • Steep learning curve
  • Better suited for developers with prior experience

Who it's for

Software engineersAI researchersTechnical project managers

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

How can I get started with LangGraph quickly?

Install via pip: pip install -U langgraph.

Are there higher-level libraries to simplify agent building?

Yes, Deep Agents is recommended for exploration.

Similar agents

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