How to Run n8n Locally: Complete 2026 Setup Guide

Quick Summary: Running n8n locally requires either npm (Node.js 20.19-24.x) or Docker. The quickest method uses npx n8n for immediate testing without installation, while Docker provides better isolation and production readiness. Both methods give you full access to n8n’s workflow automation capabilities without recurring cloud costs.

Setting up n8n on a local machine eliminates recurring subscription fees while providing complete control over workflow automation. According to the official n8n documentation, the platform requires Node.js version between 20.19 and 24.x for npm installations, or Docker for containerized deployments.

The decision between local hosting and cloud services impacts both budget and flexibility. According to community discussions, local installations handle unlimited workflows, while cloud plans include execution-based pricing (starting at $24/month for 2,500 executions according to some user reports).

Prerequisites for Local Installation

Before installing n8n locally, the system needs specific software depending on the chosen method.

The required Node.js version for an npm installation depends entirely on the specific requirements of the n8n version you are deploying, as npm itself is compatible with all currently supported LTS versions of Node.js. The official documentation specifies this exact version range for compatibility. Check the current version by running node –version in the terminal.

Docker installations require Docker Engine or Docker Desktop. The n8n team recommends Docker for most self-hosting needs because it provides clean isolation and avoids operating system incompatibilities.

System Requirements

Local n8n instances run on Windows, macOS, and Linux systems. No minimum RAM specification appears in official documentation, but workflow complexity determines actual resource needs.

The installation consumes minimal disk space initially. Storage requirements grow based on workflow data, execution history, and custom node packages.

Method 1: Running n8n with npm

The npm installation provides the fastest path to running n8n locally. This method works directly on the host system without containerization.

Quick Start with npx

The simplest approach uses npx without permanent installation. Open a terminal and execute:

This command downloads everything needed and starts n8n automatically. The interface becomes accessible at localhost:5678 within seconds.

The npx method works perfectly for testing and evaluation. It doesn’t require global npm packages or permanent system changes.

Global npm Installation

For permanent installation, the global npm package provides consistent access:

After installation completes, start n8n anytime by running:

The current major stable version of n8n is 2.x (e.g., 2.10.4). Beta versions may contain unstable features and should be avoided for production workflows.

Configuration and Data Storage

npm installations store workflow data in the ~/.n8n directory by default. This location contains credentials, workflow definitions, and execution history.

Environment variables control n8n behavior. Set the N8N_PORT variable to change the default port 5678. Other variables configure database connections, webhook URLs, and authentication settings.

Method 2: Running n8n with Docker

Docker installation represents the recommended approach for local n8n hosting. The official documentation emphasizes Docker for production self-hosting needs.

Basic Docker Run Command

Start n8n with a single Docker command:

This command creates a container named n8n, maps port 5678 to the host, and persists data in the ~/.n8n directory.

The container runs interactively with the -it flag. Remove –rm to keep the container after stopping it.

Docker Compose for Production Setup

Docker Compose configurations provide better control for production environments. The n8n-hosting repository on GitHub contains ready-to-use Docker Compose files for various architectures.

A basic docker-compose.yml configuration looks like this:

Start the stack with:

The -d flag runs containers in detached mode, allowing terminal use for other tasks.

Initial Configuration and Access

After starting n8n through either method, navigate to localhost:5678 in a web browser. The initial setup screen requests an email address and password for the admin account.

This first user becomes the instance owner with full administrative privileges. Additional users can be added later through the user management interface.

Authentication Setup

For security, enable authentication even on local installations. Docker Compose configurations accept authentication environment variables directly:

These variables activate HTTP basic authentication, requiring credentials for all access attempts.

Testing Custom Nodes Locally

The official documentation explains how to test custom nodes during development. Install n8n globally first, then build and link the custom node package.

In the custom node directory, run:

Then navigate to the n8n nodes directory (typically ~/.n8n/custom/) and link the package:

The custom node appears in the n8n interface after restarting the instance.

Helpful Automation Resources to Use With n8n

If you’re learning how to run n8n locally and testing workflows on your machine, you might also benefit from external helpers and templates that make it easier to automate common tasks. Get AI Perks offers a library of workflow templates and AI‑assisted tools that you can use alongside n8n or to prototype automation ideas before you build them yourself.

With Get AI Perks, you can:

• Start from prebuilt workflow templates
• Get AI assistance for routine logic and content
• Explore common automation patterns before implementing them in n8n
• Combine templates with your local n8n setup

Discover Get AI Perks to find automation helpers that support your n8n workflows.

Troubleshooting Common Issues

Port conflicts represent the most frequent installation problem. If port 5678 is already in use, either stop the conflicting service or change n8n’s port using the N8N_PORT environment variable.

Node Version Incompatibility

Using Node.js versions outside the 20.19-24.x range causes installation failures. The n8n GitHub repository documents issues when developers attempt local dev environments, highlighting the importance of Node version compatibility.

Verify Node version compatibility before troubleshooting other issues. Switch Node versions using nvm (Node Version Manager) if needed.

Docker Volume Permission Errors

Permission issues with the ~/.n8n volume mount prevent data persistence. Docker containers run as the node user, which might lack write access to the host directory.

Create the directory with appropriate permissions before starting the container:

Frequently Asked Questions

Production Considerations

The official n8n documentation emphasizes that self-hosting requires technical knowledge. Setting up servers, managing resources, and securing applications demand experience with system administration.

For production deployments, Docker Compose provides the foundation. Add a reverse proxy like nginx or Caddy for HTTPS support. The n8n-hosting repository includes Caddy configurations ready for deployment.

Database selection matters for heavy workloads. The default SQLite database works for moderate use, but PostgreSQL offers better performance for high-volume automation according to official guidance.

Making the Choice: Local vs Cloud

Local n8n hosting suits teams with technical capabilities and specific security requirements. Data stays on controlled infrastructure, and execution limits disappear.

However, local hosting requires maintenance, backups, and monitoring. Cloud hosting transfers these responsibilities to n8n’s infrastructure team. Check the official website for current cloud pricing and feature comparisons.

Running n8n locally provides complete control over workflow automation infrastructure. Whether using npm for quick testing or Docker for production deployments, both methods deliver the full platform without recurring costs. Start with npx for immediate exploration, then transition to Docker when workflows move toward production use.