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LangFlow vs n8n

Side-by-side comparison · AI Agents & Automation

At a glance

DimensionLangFlown8n
PricingFree and open source when self-hosted; a managed cloud service is offered with paid tiers above a free allowance - verify current pricing on the official pageFree self-hosted community edition; managed cloud plans start at a modest monthly tier and scale with executions - verify current pricing on the official page
Free planYesYes
Rating★★★★☆★★★★★
Best forprototyping rag apps, learning llm patterns, internal assistants and demostechnical teams, self-hosted automation, ai agent workflows and internal tooling
CategoryAI Agents & AutomationAI Agents & Automation

LangFlow - strengths & limits

Strengths

  • Open source and free to self-host on your own hardware
  • Exporting to Python avoids being locked into the canvas
  • Immediate test pane shortens the edit and verify loop

Watch out for

  • Component-heavy graphs become hard to read at scale
  • Tied to the LangChain ecosystem and its pace of change
  • Production deployment is left to the user

n8n - strengths & limits

Strengths

  • Self-hosting keeps sensitive data inside your own infrastructure
  • AI agents and ordinary automation live in one workflow
  • Code steps prevent the visual editor from becoming a dead end

Watch out for

  • Self-hosting means you own upgrades and uptime
  • Complex workflows need real engineering discipline
  • The learning curve is steeper than simpler no-code tools

Which should you choose?

If your priority is prototyping rag apps, learning llm patterns, internal assistants and demos, LangFlow is the stronger pick. If instead you care more about technical teams, self-hosted automation, ai agent workflows and internal tooling, go with n8n. For most people, trying both on a free tier is the fastest way to decide - they serve the same AI Agents & Automation space but differ in workflow and output style.

FAQ

Which is better, LangFlow or n8n?

It depends on your task. LangFlow leads on prototyping rag apps, learning llm patterns, internal assistants and demos; n8n is better when you need technical teams, self-hosted automation, ai agent workflows and internal tooling. Try both free tiers.

Can I use LangFlow and n8n together?

Yes - many users keep one as the daily driver and the other for specific tasks where it is stronger.