The largest community building the future of LLM apps
Trusted by companies shaping the future of agents
Why choose LangGraph?
Control, moderate, and guide your agent’s actions.
Craft agent-appropriate UXs using LangGraph Platform's APIs. Quickly deploy and scale your agent with purpose-built infrastructure. Choose from multiple deployment options.
Expressive and customizable agent workflows.
LangGraph’s low level abstractions provide the flexibility to create sophisticated agents. Design diverse control flows – single, multi-agent, hierarchical, sequential – all with one framework.
Control, moderate, and guide your agent’s actions.
Craft agent-appropriate UXs using LangGraph Platform's APIs. Quickly deploy and scale your agent with purpose-built infrastructure. Choose from multiple deployment options.
Control, moderate, and guide your agent’s actions.
Craft agent-appropriate UXs using LangGraph Platform's APIs. Quickly deploy and scale your agent with purpose-built infrastructure. Choose from multiple deployment options.
LangGraph Platform: Design and deploy your agents at scale
Craft agent-appropriate UXs using LangGraph Platform's APIs. Quickly deploy and scale your agent with purpose-built infrastructure. Choose from multiple deployment options.
Dynamic APIs for designing agent UXs.
Craft personalized experiences with the long-term memory API to recall information across conversation sessions. Expose, update, and rewind your app's state for better user visibility, steering, and interaction. Kick off long-running background jobs for research-style or multi-step work.
Fault-tolerant scalability.
Handle large workloads gracefully with horizontally-scaling servers, task queues, and built-in persistence. Enhance resilience with intelligent caching and automated retries.
Dynamic APIs for designing agent UXs.
Craft personalized experiences with the long-term memory API to recall information across conversation sessions. Expose, update, and rewind your app's state for better user visibility, steering, and interaction. Kick off long-running background jobs for research-style or multi-step work.
Built with LangGraph, trusted by the best.
LangGraph helps teams of all sizes, across all industries, build reliable AI agents deployed in production. Hear customers tell their tales.
“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.”
Even the all-powerful Pointing has no control about the blind texts it is an almost unorthographic life One day however a small line of blind text by the name of Lorem Ipsum decided to leave for the far World of Grammar. The Big Oxmox advised her
Even the all-powerful Pointing has no control about the blind texts it is an almost unorthographic life One day however a small line of blind text by the name of Lorem Ipsum decided to leave for the far World of Grammar. The Big Oxmox advised her
Even the all-powerful Pointing has no control about the blind texts it is an almost unorthographic life One day however a small line of blind text by the name of Lorem Ipsum decided to leave for the far World of Grammar. The Big Oxmox advised her
LangChain FAQs
Yes - LangChain is valuable even if you’re using one provider. Its LangChain Expression Language standardizes methods such as parallelization, fallbacks, and async for more durable execution. We also provide observability out of the box with LangSmith, making the process of getting to production more seamless.
Yes - LangChain is an MIT-licensed open-source library and is free to use.
LangChain is often used for chaining together a series of LLM calls or for retrieval augmented generation.
Yes, LangChain 0.1 and later are production-ready. We've streamlined the package, which has fewer dependencies for better compatibility with the rest of your code base. We're also committed to no breaking changes on any minor version of LangChain after 0.1, so you can upgrade your patch versions (e.g., 0.2.x) on any minor version without impact.
Yes, LangChain is widely used by Fortune 2000 companies. Many enterprises use LangChain to future-proof their stack, allowing for the easy integration of additional model providers as their needs evolve. Visit our to see how companies are using LangChain.
For straight-forward chains and retrieval flows, start building with LangChain using LangChain Expression Language to piece together components.