Implement human-in-the-loop

Build stateful, multi-agent AI applications with ease.

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.

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.

Implement human-in-the-loop Tools

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LangGraph