Skip to content
SlateIndex
LangGraphLow-level orchestration framework and runtime for long-running, stateful agents.
vs
n8nFlexible AI workflow automation for technical teams.
Comparison · AI Agents · weekly run Nov 3

LangGraph vs n8n

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

LangGraph is the stronger AI pick in AI Agents: it has a visibility score of 24.4 versus 22 for n8n, and ranks ahead in 50% of the answers that name both.

Choose LangGraph if…

  • You want the brand AI engines rank higher (24.4 vs 22)
  • You need SOC 2 Type II or ISO 27001:2022 or HIPAA coverage
  • Production standard for stateful, multi-agent workflows
  • Strong engineering control for complex, cyclical agent logic

Choose n8n if…

  • AI answers describe it more positively (57% vs 44% positive)
  • You need SOC 2 coverage
  • Avoids vendor lock-in and offers self-hosting
  • Excellent low-code visual workflow automation

AI visibility side by side

Latest weekly run · Nov 3

Metric LangGraph n8n
Visibility score24.4%22%
Change vs last weekNewNew
Rank in AI Agents#4#5
Share of voice5.3%4.4%
Mentions this run3330
Positive in AI answers44%57%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3LangGraph 24%

LangGraph 0pp · n8n 0pp over 0 weekly runs.

Engine by engine

LangGraph leads on 1 of 3 engines

ChatGPT
20%
27.2%
AI Mode
35.4%
7.6%
Perplexity
18%
31.3%
LangGraphn8n

Head to head in AI answers

20 engine answers name both brands

10LangGraph ranked higher
10n8n ranked higher

Features, pricing & fit

DimensionLangGraphn8n
DeploymentSaaS in US and EU regions, plus self-hosted and hybrid options available on Enterprise only.Hosted on n8n Cloud or self-hosted on-prem or with Docker.
Integrations—2000+
ComplianceSOC 2 Type II, ISO 27001:2022, GDPR, HIPAASOC 2, GDPR
Support—Forum support on all plans, Email support on Enterprise, Dedicated support with SLA on Enterprise
Founded—2019
HeadquartersSan FranciscoBerlin, Germany
Employees—51–200
FundingSeries BSeries C · $240M raised
Best forTeams building long-running, stateful AI agents.Technical teams that want the flexibility of code with the speed of no-code.

Pros and cons

Themes from the AI answers that mention each brand

LangGraph

  • Production standard for stateful, multi-agent workflows
  • Strong engineering control for complex, cyclical agent logic
  • Widely adopted open-source developer framework
  • Best choice for autonomous AI agents
  • Heavy developer framework that requires coding effort

n8n

  • Avoids vendor lock-in and offers self-hosting
  • Excellent low-code visual workflow automation
  • Strong native AI agent and MCP support
  • Broad integrations across SaaS apps and APIs
  • Free self-hosted edition and affordable cloud plans
  • Self-hosting requires technical skill such as Docker or server management

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “LangGraph vs n8n”, https://slateindex.ai/compare/langgraph-vs-n8n, data of Nov 3, 2026. Licence: CC BY 4.0.