LangGraph
LangGraph

LangGraph

Measured by AhrefsDR88Ahrefs DR: 88/100. Top 25%. Measured by Ahrefs. Median 44.Measured by StartupHub.aiAgent42Agent Readiness: 42/100. Above median. Measured by StartupHub.ai. Median 41.Measured by Google PageSpeedSpeed31Site Speed: 31/100. Bottom 25%. Measured by Google PageSpeed. Median 62.Measured by StartupHub.aiTrust91Data Trust: 91/100. Top 25%. Measured by StartupHub.ai. Median 61.

LangGraph is an open-source framework for building, managing, and deploying long-running, stateful agents as graphs.

2024Active259San Francisco, United States

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.

Key facts

Website
langchain.com
Headquarters
San Francisco, United States
Founded
2024
Employees
259
Total funding
$25M (Series A)
Business model
Open Source Framework / SaaS Platform

Funding rounds

Funding rounds raised by LangGraph
DateRoundAmountPost-moneyLead investors
1 Feb 2024Series A$25M$200MSequoia Capital

Tech stack

Detected on langchain.com, last scanned 22 Sept 2026.

Analytics
Google Tag Manager, Plausible
Support
Discourse
CMS / Builders
Webflow
CDN
Cloudflare
Email provider
Google Workspace

LangGraph scores 88. Does yours?

That is its Ahrefs DR: the backlink strength of a domain, on the Ahrefs 0 to 100 scale. Paste your website and you get yours in about a minute.

Add first review

Frequently asked

What does LangGraph do?

Key features of LangGraph include durable execution (enabling agents to persist through failures and resume automatically), human-in-the-loop capabilities (allowing for oversight and modification of agent state), and comprehensive memory management (supporting both short-term working memory and long-term persistent memory). It also integrates with LangSmith for debugging and provides tools for production-ready deployment of sophisticated agent systems. LangGraph is trusted by companies like Klarna, Replit, Elastic, and Uber, and is used in various applications such as content generation, customer service, financial modeling, and academic research.

Is LangGraph trustworthy and reputable?

StartupHub's Data Trust & Reputation score for LangGraph is 91 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.

How much funding has LangGraph raised?

LangGraph has raised a total of $25M in funding. The most recent round on record is Series A.

How many employees does LangGraph have?

LangGraph has approximately 259 people on record.

Public record

SEC filings, insider activity, nonprofit links and pay benchmarks for LangGraph