LangChain · Agent Orchestration Framework
An open-source Python framework for building stateful, multi-agent workflows with human-in-the-loop controls and persistent memory.
Best for
Stateful multi-agent workflows with human-in-the-loop control
Not ideal for
Non-developers or teams needing a hosted no-code agent builder
Who it's for
Python developers building production agent systems that require fine-grained control over state and orchestration
LangGraph is an agent orchestration framework by LangChain for building stateful AI agent applications. It models agent workflows as graphs — nodes represent actions and edges define control flow — enabling single-agent, multi-agent, and hierarchical architectures. Key capabilities include human-in-the-loop checkpoints, persistent memory across sessions, real-time streaming, and flexible branching logic. LangGraph is MIT-licensed and free to use as a Python library that you integrate into your own applications. LangChain also offers LangSmith, a companion platform for debugging, testing, and monitoring agent deployments, as a separate paid service. LangGraph is best suited for developers building production agent systems that require fine-grained control over agent behaviour and state management.
Are you the founder? Claim this listing →