LangChain builds the infrastructure that developers use to construct, test, and deploy AI agents at production scale. The company operates across two layers: open-source frameworks for building agents and a commercial platform for running them reliably. Its hybrid model - free tooling paired with an enterprise-grade observability and deployment product - has made it a central piece of the modern AI development stack.
The open-source side consists of two frameworks, LangChain and LangGraph, which together see over 90 million downloads per month and support more than 1,000 third-party integrations. Both provide pre-built architectures that allow developers to assemble AI agents with fine-grained control, without starting from scratch. The commercial product, LangSmith, sits on top of these frameworks and gives engineering teams the observability, evaluation, and deployment capabilities needed to take LLM-based systems from prototype to dependable production.
The company's customer base spans a wide range of organisations, from large enterprises to early-stage startups. Among those using LangChain's technology are Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, LinkedIn, Coinbase, and others. Millions of developers worldwide work with the open-source frameworks.
LangChain's technical work spans agent engineering, LLM system design, developer tooling, and AI observability and evaluation - domains that sit at the intersection of applied machine learning and software engineering. The company's emphasis on production reliability and granular developer control reflects the practical challenges teams encounter when moving AI agents beyond experimentation.