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LangGraph

LangGraph is an agent runtime and low-level orchestration framework for designing agents that reliably handle complex tasks.

multi-agent orchestrationworkflow automationenterprise AIscalable AI

About

The vendor describes LangGraph as an agent runtime and low-level orchestration framework. It is designed to help users create agents that can reliably manage complex tasks. The page states that LangGraph is trusted by companies shaping the future of agents and lists several companies that use it, including Klarna, Vanta, Clay, Rippling, Lyft, Gong, Harvey, Abridge, Autodesk, Bristol Myers Squibb, Workday, Cisco, Mercor, NU, monday.com, Nvidia, Bridgewater, LinkedIn, Coinbase, Elastic, Uber, Exa, Cogent, Serval, Zip, Listen, Harmonic, Rakuten, and ServiceNow. The page also provides links to start building and read the documentation.

Read from langchain.com on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data

53/100 · Established

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, Hybrid, Self-Hosted

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

5 documented use cases

Company MaturityNot disclosed

Company maturity not disclosed

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier

Active

last GitHub commit 0d ago

GitHub API2026-05-27

langchain-ai

Open source product· 145.1k★· MIT· active 3mo ago

Python · TypeScript

cooling · +2,799★ (+2%) 30d

npm registry

langchain

v1.4.2· MIT· released 3mo ago

OSV vulnerability feed2026-08-24

2 known advisories

1 high· 1 other· last update 22d ago

Enterprise Use Cases

Automated customer support workflows

Cross-functional AI task orchestration

Enterprise knowledge management

AI-driven decision support

Compliance monitoring automation

Integrations

OpenAIAzure Cognitive ServicesAWS LambdaGoogle Cloud AISlackSalesforceDatadogZapier

How LangGraph compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
LangGraph	53 · Established	Enterprise	Cloud, Hybrid, Self-Hosted	—	8
Imbue AI Agents	Not scored	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
CrewAI	Not scored	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Ultravox	62 · Established	Enterprise	Cloud, Hybrid, Self-Hosted	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is LangGraph used for?

LangGraph is langGraph is an agent runtime and low-level orchestration framework for designing agents that reliably handle complex tasks. It is commonly used for automated customer support workflows, cross-functional ai task orchestration, enterprise knowledge management, and ai-driven decision support.

Is LangGraph free, and how is it priced?

LangGraph uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can LangGraph be deployed?

LangGraph supports Cloud, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does LangGraph integrate with?

LangGraph documents 8 integrations, including OpenAI, Azure Cognitive Services, AWS Lambda, Google Cloud AI, Slack, and Salesforce.

Is LangGraph enterprise-ready?

Based on cataloged data, LangGraph has an Enterprise Readiness score of 53/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud, Hybrid, Self-Hosted

CategoryAI Agents & Automation

Procurement

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