LangGraph

LangGraph

Build stateful, multi-agent AI applications with ease.
LangGraph

What's LangGraph

LangGraph is an open-source library designed to facilitate the creation of stateful, multi-agent applications using Large Language Models (LLMs). It empowers developers to construct agent and multi-agent workflows that incorporate cycles, controllability, and persistence—key features for sophisticated AI applications. LangGraph offers fine-grained control over application flow and state, ensuring the development of reliable and customizable agents. With built-in persistence, it supports human-in-the-loop and memory features, and integrates seamlessly with LangChain and LangSmith.

What sets LangGraph apart?

LangGraph distinguishes itself with its robust infrastructure for deploying agentic applications to production. It features token-by-token streaming support, background runs, and scalability, making it ideal for handling long-running agents. The platform supports complex control flows and offers robust error recovery mechanisms, ensuring seamless operation. Its integration with LangChain and LangSmith further enhances its capabilities, providing a comprehensive solution for developers looking to implement human-in-the-loop collaboration and create sophisticated multi-agent applications.

Features

Human-in-the-loop collaboration
Token-by-token streaming support
Integration with LangChain and LangSmith
Supports single and multi-agent architectures
Handles long-running agents
Robust error recovery mechanisms
Complex control flows support

Who Uses LangGraph?

Pricing
Free
Source Type
Open Source
Tags
Framework
AI
Open-source
Multi-agent
LLMs
LangChain
LangSmith
Human-in-the-loop

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