Open-Source LLM Framework — Building the Tools for AI Application Development
The consensus on LangChain: Choose LangChain if you want open-source DNA with massive developer-community impact and high autonomy — at a Series B stage where the agent-engineering platform thesis is expanding fast and roles stretch with it.
Founded in 2022 by Harrison Chase and Ankush Gola, LangChain is the open-source framework powering millions of LLM applications worldwide — and now the platform behind LangSmith and LangGraph for agent engineering. The team raised a $125M Series B at a $1.25B valuation in October 2025, led by IVP, with continued backing from Sequoia, Benchmark, CapitalG, and strategic investors including Datadog, Databricks, ServiceNow Ventures, and Workday Ventures. The culture is deeply OSS-rooted with a massive developer community, engineers ship fast with high autonomy, and the company is scaling hard against an agent-engineering platform thesis.
Core product is open source (130k+ GitHub stars). LangChain, LangGraph, and LangSmith form the leading LLM development stack. Community-driven development model.
Active blog covering LLM application patterns, agent architectures, and retrieval-augmented generation. Read the blog →
Flat, open-source-native team. Engineers contribute across the entire stack. Strong async communication with a community-first development approach.