
LangGraph
LangGraph is an open-source framework for building, managing, and deploying long-running, stateful agents as graphs.
About
LangGraph is an open-source framework built on top of LangChain, designed to facilitate the creation of cyclical graphs, which are often necessary for agent runtimes. It allows developers to define agent workflows as graphs, with nodes representing processing steps and edges defining transitions between these steps. This graph-based approach elegantly handles branching, looping, and other non-linear procedures, making it suitable for complex, stateful applications. Teams look it up for Agentic AI, LLM Framework, Developer Tools.
Frequently asked
What does LangGraph do?
LangGraph is an Agentic AI company. Teams look it up for LLM Framework, Developer Tools, Customer Service. It is based in San Francisco, United States and was founded in 2024. Public records show about 259 people and $25M raised. Compare it on funding, headcount, reviews and nearby alternatives rather than the marketing line alone.
How much funding has LangGraph raised?
LangGraph has raised a total of $25M in funding. The most recent round on record is Series A.
Where is LangGraph headquartered?
LangGraph is headquartered in San Francisco, United States.
When was LangGraph founded?
LangGraph was founded in 2024.
What industry does LangGraph operate in?
LangGraph operates in Agentic AI, LLM Framework, Developer Tools, Customer Service, AI Agents.
How many employees does LangGraph have?
LangGraph has approximately 259 people on record.
Strength of the site’s backlink profile, on Ahrefs’ 0-100 Domain Rating scale. Licensed third-party data, not our opinion.
How well an AI agent can read and use this site: structured data, clean markup, and whether key facts are reachable without running JavaScript. We scan the live site.
Google PageSpeed mobile performance for the company’s own site. Measured by Google, not by us.
Star ratings come from visitors, one per person per profile, and are shown exactly as given: we do not weight, curate or filter them. Reviews are published in full alongside the rating that accompanied them.
