Gain control with LangGraph to design agents that reliably handle complex tasks.
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Prevent agents from veering off course with easy-to-add moderation and quality controls. Add human-in-the-loop checks to steer and approve agent actions.
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LangGraph’s low-level primitives provide the flexibility needed to create fully customizable agents. Design diverse control flows — single, multi-agent, hierarchical — all using one framework.
LangGraph’s built-in memory stores conversation histories and maintains context over time, enabling rich, personalized interactions across sessions.
Bridge user expectations and agent capabilities with native token-by-token streaming, showing agent reasoning and actions in real time.
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.
LangGraph helps teams of all sizes, across all industries, build reliable agents ready for production.
“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,
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.
LangGraph is a stateful, orchestration framework that brings added control to agent workflows. LangGraph Platform is a service for deploying and scaling LangGraph applications, with an opinionated API for building agent UXs, plus an integrated developer studio.
We currently have the following deployment options for LangGraph applications:
Self-Hosted Lite: A free (up to 1M nodes executed), limited version of LangGraph Platform that you can run locally or in a self-hosted manner. This version requires a LangSmith API key and logs all usage to LangSmith. Fewer features are available than in paid plans.
Hybrid (SaaS control plane, self-hosted data plane). No data leaves your VPC. Provisioning and scaling is managed as a service.
Self-Hosted Enterprise: Deploy LangGraph entirely on your own infrastructure.
No. LangGraph Platform is proprietary software.
There is a free, self-hosted version of LangGraph Platform with access to basic features. The Cloud SaaS deployment option is free while in beta, but will eventually be a paid service. We will always give ample notice before charging for a service and reward our early adopters with preferential pricing. The Bring Your Own Cloud (BYOC) and Self-Hosted Enterprise options are also paid services. Contact our sales team to learn more.
For more information, see our LangGraph Platform pricing page.
Get started with tools from the LangChain product suite for every step of the agent development lifecycle.
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