For developers building GTM agents, LangChain is a suite of open-source tools and a managed runtime that orchestrates stateful, multi-step agent graphs for production LLM applications.
Presence & Market Position
#9 of 122
GTM Developer Tools
▲ 1 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
LangChain is working to be the open agent platform where teams build, test, deploy, monitor, and govern production agent systems. Its market presence is established across the agent-builder category, with conversation centered on stateful agent graphs, harness engineering, long-running workflows, context management, and evaluation. Practitioner material often takes the form of implementation walkthroughs and integrations with adjacent developer infrastructure. The company also invests in developer education, including agent-engineering coursework, while its GTM footprint includes enterprise hiring and partnerships around agent deployment.
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Business Profile
LangChain was founded by Harrison Chase and Ankush Gola and has grown from an open-source framework into a company with a commercial layer, LangSmith, for tracing, evaluation, and improving agents once they're in production. It has raised $160M, reported $16M in ARR in 2025, and was last valued at $1.25B as of October 2025, with strategic backing that includes several of the enterprises it sells into. The company runs independently with a team of roughly 325, and frames its work around agent engineering — treating an agent's reliability in production, not just its construction, as the core problem it sells against.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
LangChain ships API, MCP, SDK, and CLI surfaces, and its recent build-out has centered on operating and evaluating agents rather than just building them: a free sandboxed runtime for agents to execute code safely, an installable skill that writes evals from an agent's own traces, and an internal data stack queryable through Slack, a CLI, or MCP instead of dashboards.
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