n8n Self-Hosting

The practice of running n8n on your own infrastructure (VPS, local, Docker) rather than on n8n Cloud. Trade-offs: unlimited executions, full data control, lower cost, and ability to integrate with private LLMs – but loses the AI workflow builder, n8n Cloud AI assistant, project-based collaboration, and official support. Hostinger VPS has emerged as the beginner-friendly one-click option; Docker-based updates follow a pull/down/up pattern that preserves workflows and credentials via Docker volumes.

Key points

  • Self-hosted unlocks unlimited workflow executions and customisation but loses the n8n Cloud AI workflow builder
  • Updating n8n on a VPS is a three-command Docker sequence: docker compose pull, docker compose down, docker compose up -d
  • Credentials and workflows persist across updates because Docker volumes are mounted separately from the image
  • Collaboration features (projects, shared credentials, roles) require n8n Enterprise self-hosted or n8n Cloud
  • At more than $25/month of Cloud spend, self-hosting typically pays off – Hostinger plans start at ~$6/month
  • Backups can be automated daily for ~$6/month on Hostinger
  • You cannot legally charge clients for access to a self-hosted n8n instance – clients must own the account and pay separately

Related entities

Related concepts

Source references

  • [src-005] Nate Herk cluster — Nate Herk — n8n cluster (18 videos)

– Videos referenced: 6ZB0zADNaqk, t1PTmpas0bg, 67BVIScAlbs, D9MIGseFB3g

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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