Gain precision and control with LangGraph to build agents that reliably handle complex tasks.
Learn the basics of LangGraph in this LangChain Academy Course. You'll learn how to build agents that automate real-world tasks with LangGraph orchestration.
Enroll for freeBook enterprise training
LangGraph's flexible API supports diverse control flows – single agent, multi-agent, hierarchical, sequential – and robustly handles realistic, complex scenarios.
Ensure reliability with easy-to-add moderation and quality loops that prevent agents from veering off course.
With built-in statefulness, LangGraph agents seamlessly collaborate with humans by writing drafts for review and awaiting approval before acting. Easily inspect the agent’s actions and "time-travel" to take a different action at a specific time.
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Bridge user expectations and agent capabilities with native token-by-token streaming and streaming of intermediate steps, delivering dynamic and interactive user experiences.
With LangGraph Cloud, quickly deploy and scale your application, with infrastructure purpose-built for agents. Now in beta for all users on LangSmith Plus and Enterprise plans.
LangGraph helps teams of all sizes, across all industries, from ambitious startups to established enterprises.
“LangChain is streets ahead with what they've put forward with LangGraph. LangGraph sets the foundation for how we can build and scale AI workloads — from conversational agents, complex task automation, to custom LLM-backed experiences that 'just work'. The next chapter in building complex production-ready features with LLMs is agentic, and with LangGraph and LangSmith, LangChain delivers an out-of-the-box solution to iterate quickly, debug immediately, and scale effortlessly.”
“LangGraph has been instrumental for our AI development. Its robust framework for building stateful, multi-actor applications with LLMs has transformed how we evaluate and optimize the performance of our AI guest-facing solutions. LangGraph enables granular control over the agent's thought process, which has empowered us to make data-driven and deliberate decisions to meet the diverse needs of our guests.”
“It's easy to build the prototype of a coding agent, but deceptively hard to improve its reliability. Replit wants to give a coding agent to millions of users — reliability is our top priority, and will remain so for a long time. LangGraph is giving us the control and ergonomics we need to build and ship powerful coding agents.”
“As Ally advances its exploration of Generative AI,
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“As Ally advances its exploration of Generative AI, our tech labs is excited by LangGraph, the new library from LangChain, which is central to our experiments with multi-actor agentic workflows. We are committed to deepening our partnership with LangChain.”
“As Ally advances its exploration of Generative AI,
“LangChain is streets ahead with what they've put forward with LangGraph. LangGraph sets the foundation for how we can build and scale AI workloads — from conversational agents, complex task automation, to custom LLM-backed experiences that 'just work'. The next chapter in building complex production-ready features with LLMs is agentic, and with LangGraph and LangSmith, LangChain delivers an out-of-the-box solution to iterate quickly, debug immediately, and scale effortlessly.”
“LangGraph has been instrumental for our AI development. Its robust framework for building stateful, multi-actor applications with LLMs has transformed how we evaluate and optimize the performance of our AI guest-facing solutions. LangGraph enables granular control over the agent's thought process, which has empowered us to make data-driven and deliberate decisions to meet the diverse needs of our guests.”
“It's easy to build the prototype of a coding agent, but deceptively hard to improve its reliability. Replit wants to give a coding agent to millions of users — reliability is our top priority, and will remain so for a long time. LangGraph is giving us the control and ergonomics we need to build and ship powerful coding agents.”
“As Ally advances its exploration of Generative AI,
“As Ally advances its exploration of Generative AI, our tech labs is excited by LangGraph, the new library from LangChain, which is central to our experiments with multi-actor agentic workflows. We are committed to deepening our partnership with LangChain.”
“As Ally advances its exploration of Generative AI,
No. LangGraph is an orchestration framework for complex agentic systems and is more low-level and controllable than LangChain agents. On the other hand, LangChain provides a standard interface to interact with models and other components, useful for straight-forward chains and retrieval flows.
Other agentic frameworks can work for simple, generic tasks but fall short for complex tasks bespoke to a company’s needs. LangGraph provides a more expressive framework to handle companies’ unique tasks without restricting users to a single black-box cognitive architecture.
LangGraph will not add any overhead to your code and is specifically designed with streaming workflows in mind.
Yes. LangGraph is an MIT-licensed open-source library and is free to use.
No. LangGraph Cloud is proprietary software that will eventually be a paid service for certain tiers of usage. We will always give ample notice before charging for a service and reward our early adopters with preferential pricing.
For now, LangGraph Cloud is in beta. While in beta, all LangSmith users on Plus and Enterprise plans can access LangGraph Cloud. Check out the docs.
LangGraph is a stateful, orchestration framework that brings added control to agent workflows. LangGraph Cloud is a service for deploying and scaling LangGraph applications, with a built-in Studio for prototyping, debugging, and sharing LangGraph applications.
Get started with LangChain, LangSmith, and LangGraph to enhance your LLM app development, from prototype to production.