LangChain, initially a side project launched by Harrison Chase as a Python package, has evolved into a company offering a multi-language agent ecosystem and a commercial platform called LangSmith. Over the past three years, LangChain has matured alongside the industry from prototyping chatbots to productionizing agents, expanding its product offerings and securing a $125 million funding round. LangSmith, focused on observability and evaluations for LLM systems, is being developed into a comprehensive agent engineering platform, while LangGraph was introduced to address feedback about control and runtime needs. The company is committed to evolving its tools, like the newly released LangChain 1.0, which emphasizes ease of use, customization, and production readiness, while also supporting the original version as LangChain-classic. LangChain's vision is to build tools for the agents of the future, integrating new functionalities into LangSmith and working with leading companies to push the boundaries of what's possible in the agent technology space.