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📖 The AI Tool Bible

Langflow vs n8n

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Langflow logo
Langflow
Agents
n8n logo
n8n
Agents
Tagline
Langflow
Open-source visual builder for LangChain-style AI agents and RAG pipelines.
n8n
Source-available workflow automation with first-class AI-agent and RAG building blocks.
Pricing
Langflow
Freemium· Open-source free; hosted free tier + paid enterprise via DataStax
n8n
Freemium· Starter: 20€ · Pro: 50€ · Business: 667€ · Enterprise: Contact Sales
Free trial
Langflow
Yes
n8n
Yes
API
Langflow
Yes
n8n
Yes
Platforms
Langflow
webslack
n8n
api
Open source
Langflow
Yes · MIT
n8n
Yes · NOASSERTION
GitHub stars
Langflow
155,378
checked 2026-09-29
n8n
206,303
checked 2026-09-29
Last GitHub push
Langflow
2026-09-29
n8n
2026-09-29
First commit
Langflow
2023-02
n8n
2019-06
Model used
Langflow
Multi-model
n8n
Multi-model
Best for
Langflow
Pick Langflow if you're a Python developer who wants a visual scratchpad for LangChain-style agents and RAG flows without giving up code-level control.
n8n
Pick n8n if you want to build AI agents and RAG pipelines on top of real production plumbing you can self-host and version-control.
Not for
Langflow
Skip it if you're a non-technical user hoping to build production agents by dragging boxes, or if you need a stable, slow-moving platform.
n8n
Skip it if you need a strict OSI-licensed framework, a pure-code agent SDK, or a no-engineer-required tool like Zapier.
Editorial score
Langflow
8.1 / 10
n8n
8.3 / 10
Use cases
Langflow
agent-prototypingrag-pipelinesworkflow-automationllm-orchestrationchatbot-development
n8n
ai-agentsworkflow-automationrag-pipelinesdata-integrationwebhook-orchestrationinternal-tools
Pros
Langflow
  • Open source and self-hostable with a permissive license
  • Visual graph maps cleanly to LangChain concepts developers already know
  • Broad LLM and vector-DB coverage out of the box
  • Every node is editable Python, not a locked black box
  • Flows deploy as APIs without extra glue code
n8n
  • 500+ integrations plus arbitrary JS/Python escape hatches
  • Self-hostable via Docker with full feature parity
  • Native nodes for LLMs, vector DBs, RAG, and MCP
  • Massive community (~194k GitHub stars) and node ecosystem
  • Built-in cron, queues, retries, credentials, and audit logs
Cons
Langflow
  • Fast-moving codebase; version upgrades can break existing flows
  • Visual metaphor still assumes LangChain-level familiarity
  • Hosted tier is tied to DataStax's Astra ecosystem
n8n
  • Fair-Code license is not OSI-approved open source
  • Agent debugging gets messy on large multi-branch canvases
  • Cloud pricing scales by executions, can surprise heavy users
  • Steeper learning curve than Zapier for non-engineers
Website
Langflow
www.langflow.org
n8n
n8n.io

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick Langflow if
  • ✅ Open source and self-hostable with a permissive license
  • ✅ Visual graph maps cleanly to LangChain concepts developers already know
  • ✅ Broad LLM and vector-DB coverage out of the box
  • ✅ Every node is editable Python, not a locked black box
Pick n8n if
  • ✅ 500+ integrations plus arbitrary JS/Python escape hatches
  • ✅ Self-hostable via Docker with full feature parity
  • ✅ Native nodes for LLMs, vector DBs, RAG, and MCP
  • ✅ Massive community (~194k GitHub stars) and node ecosystem
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