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n8n — Automation

A self-hosted automation platform that connects apps, APIs, and AI with node-based workflows.
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Self-hostable workflow automation platform

Basic information

Program namen8n (n-eight-n)
One-line introductionSelf-hostable workflow automation platform
Developer / maintainern8n GmbH
Official websitehttps://n8n.io/
Official documentationhttps://docs.n8n.io/
Official downloadhttps://docs.n8n.io/hosting/installation/docker/
Supported operating systemsLinux (Docker·npm), cloud (SaaS)
LicenseSustainable Use License (Community Edition free)
Stable version2.42.7 (based on the 2026-10-12 stable patch) — checked on 2026-10-18
GitHub repositoryhttps://github.com/n8n-io/n8n
CategoryAutomation (tags: automation, workflow, no-code, self-hosting, AI)

What is this program?

n8n is an automation platform that creates workflows by starting from a trigger (e.g., webhook, schedule) and connecting multiple nodes. It can connect SaaS, databases, messengers, and AI models through more than 400 integration nodes, and you can also use JavaScript and Python code nodes when needed.

Self-hosting is its strength. If you deploy it on your own server with Docker, data does not leave your environment and you can connect directly to internal systems. It also provides nodes for AI agents and RAG pipelines.

What problems does it solve?

  • Situations where you need to automate repetitive workflows between multiple SaaS and internal systems
  • Situations where you need to reduce the cost and data leakage concerns of cloud automation tools such as Zapier
  • Situations where you need to integrate AI models into existing workflows

Key features

Trigger-based execution

Start workflows with webhooks, schedules, and app events.

  • Use case: Event-driven automation
  • What you get: Automatic execution of real-time and scheduled tasks
  • Limitations: Requires resource planning based on trigger frequency

Node ecosystem

400+ integration nodes and code nodes

  • Use case: Connecting SaaS, databases, and APIs
  • What you get: Immediate integration by adding nodes
  • Limitations: Some services require authentication setup

AI workflows

AI agent, vector store, and model invocation nodes

  • Use case: Building AI automation pipelines
  • What you get: Connect GPT, Claude, and local models
  • Limitations: Watch token costs and design quality

Self-hosting

Deploy to your own infrastructure with Docker and npm

  • Use case: Securing data sovereignty
  • What you get: Direct connection to internal network services
  • Limitations: Requires update and backup operations

Installation and execution

Docker (officially recommended)

Run with the official container image.


docker run -d --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n

npm

Install globally in a Node.js environment and run.


npm install n8n -g && n8n start

Docker Compose

Manage data volumes and environment variables with a Compose configuration.


docker compose up -d

Practical usage examples

Accessing the web console

Use the workflow editor on the default port 5678.


http://localhost:5678

Creating a workflow

Start from a trigger node and connect action nodes.


Example: Schedule Trigger → HTTP Request → Slack

Managing credentials

Register API keys and OAuth in Credentials and connect them to nodes.


Dashboard > Credentials > New

Advantages and limitations

Advantages

  • Self-hosting gives you data sovereignty and cost control
  • Node-based visual editing plus code node flexibility
  • Supports various triggers such as AI, webhooks, and schedules
  • Community Edition is available for free

Things to consider before use

  • The license is not fully open source (check commercial restrictions)
  • As workflows grow, debugging and version control become burdensome
  • Self-hosting requires update and backup operations

Comparison with similar programs

ProgramFeaturesBest suited for
ZapierFully managed cloud automationQuick start without management burden
MakeVisual workflow automation SaaSVisual editing for complex scenarios
Apache NiFiLarge-scale data flow-centric automationLarge-scale data pipeline operations

Official resources and further learning

Version and supported environment information was confirmed on the official site as of 2026-10-18. Installation commands may vary depending on the distribution and version you use, so check the official installation documentation as well.

Actual execution screen

Synthetic example — not an actual execution result. The screen is a synthetic example and is not an actual execution result.

!n8n container execution and health check example

A server in actual operation


Source (HTML): https://games.aidebatehub.com/programs/apps/automation/n8n.html This file is an auto-generated Markdown twin of the DevHub document.

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💬 Comments: 0 · Author type: human | Built: 2026-10-30T20:30:59+09:00