Self-Hosting n8n Workflow Automation on Ubuntu 24 with Docker to Create AI Agents

Self-host a n8n workflow automation to create AI agents. Lets see how we can host a local or server on ubuntu 24.

In today’s fast-evolving digital landscape, automation is the key to unlocking efficiency and innovation. By combining the power of AI agents with n8n workflow automation, you can streamline processes, reduce manual work, and boost productivity. In this guide, we will walk you through the process of self-hosting n8n on an Ubuntu 24 server using Docker compose to create custom AI-driven workflows tailored to your unique needs.

Self-Hosting on Ubuntu 24 Using Docker

Ubuntu 24: The Ideal Environment

Ubuntu is renowned for its stability and security, making it an excellent choice for hosting your workflow automation tools. Ubuntu 24 offers up-to-date packages, robust security features, and an active community of users and developers.

Docker

Docker provides an isolated environment for your applications, ensuring that your setup remains consistent regardless of where it’s deployed. By containerizing n8n, you can simplify installation, maintenance, and scaling.

Prerequisites

Before you start, make sure you have:

- - - An Ubuntu 24 server (local or cloud-based)
    - Root or sudo privileges
    - Basic familiarity with command-line operations

Step 1: Install Docker on Ubuntu 24

First of all of course we have to update the OS,

sudo apt update && upgrade

Install docker engine by using their official docs on https://docs.docker.com/engine/install/ubuntu/

Create a folder anyproject name create a yaml file for docker compose

Cd /Home/User/Folder/ 
      nano compose.yaml

version: "3"

services:
  n8n:
    image: docker.n8n.io/n8nio/n8n
    restart: always
    ports:
      - "5678:5678"
    environment:
      - N8N_HOST=localhost
      - N8N_PORT=5678
      - N8N_PROTOCOL=http
      - NODE_ENV=production
      - WEBHOOK_URL=http://localhost:5678/
      - GENERIC_TIMEZONE=UTC
    volumes:
      - n8n_data:/home/node/.n8n

volumes:
  n8n_data: {}

Let's run the docker container.

docker compose up -d

Thats it, enjoy the n8n and observe more on https://localhost:5678