📖 The AI Tool Bible

LangGraph vs n8n

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

 
LangGraph
Agents
n8n
Agents
TaglineStateful, graph-based agent orchestration from LangChain.Source-available workflow automation with first-class AI-agent and RAG building blocks.
CategoryAgentsAgents
PricingFreemium· Free open-source; LangGraph Platform paidFreemium· Free self-host; Cloud Starter ~$24/mo; Enterprise contact sales
ModelBYO (Claude / GPT / open)Multi-model
Editorial score8.8 / 10—
Use cases
stateful agentshuman-in-loopproduction
ai-agentsworkflow-automationrag-pipelinesdata-integrationwebhook-orchestrationinternal-tools
Pros
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
  • 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
  • Steeper learning curve than CrewAI
  • Verbose to set up
  • 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
Websitewww.langchain.comn8n.io
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
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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