langgraph
LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 33.9k
- Source
- GitHub
- Added
- 2026-06-04
- Last verified
- 2026-06-04

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
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
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.
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