LangChain is a San Francisco-based company founded in 2022 by Harrison Chase and Ankush Gola, dedicated to making it easier for developers and enterprises to build with large language models (LLMs). The company provides an integrated suite of frameworks and platforms—LangChain, LangGraph, and LangSmith—that streamline the entire AI application lifecycle. From idea to production, LangChain helps teams move faster, deploy more reliably, and scale AI-powered applications with less engineering overhead.
What sets LangChain apart is its Agent Stack, a set of tools designed to work seamlessly together. LangChain handles integrations with models, databases, and external tools; LangGraph orchestrates controllable agents with persistence and memory; and LangSmith brings observability, debugging, and evaluation at scale. Combined with the LangGraph Platform for deployment, the stack enables developers to build, monitor, and manage enterprise-grade agents with confidence. Whether building copilots, customer support bots, research assistants, or AI-powered search, LangChain provides a reliable foundation for real-world AI applications.
Already trusted by top engineering teams at companies like Google, Klarna, Replit, GitLab, and The Home Depot, LangChain has quickly become a leading choice for building production-grade AI. Its products can be used independently or as a fully integrated stack, offering flexibility for startups and enterprises alike. By prioritizing speed, reliability, and visibility, LangChain delivers the smoothest path to high-quality AI agents—helping organizations unlock new efficiencies, accelerate innovation, and create transformative user experiences.
