How to Install n8n v2 Correctly in a Local Environment with Docker Desktop
How to Install n8n v2 Correctly in a Local Environment with Docker Desktop (Execute Command + Save Files)
🔥 Complete and practical tutorial showing how to correctly install n8n version 2 to run in a local environment, including Chat Ollama for offline AI testing, using WSL2, Docker Desktop, and Windows.
🔥 Eliminate once and for all the common issues with file-saving nodes and command execution nodes such as Execute Command and write/save to disk.
🔥 This video covers the entire process from scratch: Windows preparation, installation and configuration of WSL2 with Ubuntu, Docker Desktop setup, and deployment of n8n v2 together with Ollama, FFmpeg, and essential dependencies for local automation and testing.
🔥 Everything runs in a local/self-hosted environment, focused on stability, correct configuration, and a clean setup to learn, test, and build real automation workflows with n8n and AI.
The goal of this tutorial is to demonstrate:
✔ How to properly prepare Windows to run n8n version 2
✔ How to install and configure WSL2 with Ubuntu 22.04
✔ How to install Docker Desktop using the WSL2 engine
✔ How to run n8n v2 locally using Docker Compose
✔ How to run Chat Ollama with a lightweight local model (TinyLlama)
✔ How to validate and access a fully functional local n8n environment
Stack used in this video:
✔ n8n version 2 (self-hosted)
✔ Docker Desktop on Windows
✔ WSL2 (Ubuntu 22.04)
✔ Ollama (local LLM)
✔ TinyLlama model
✔ FFmpeg
✔ Curl
Put an end to bugs and install n8n v2 the right way to run everything locally. Forget cloud services and hosting providers, and use a solid environment for testing, learning, and developing AI-powered automations.
#n8n #n8nV2 #n8nInstallation #n8nLocal
#DockerDesktop #WSL2 #Ubuntu2204
#Ollama #TinyLlama #LocalAI
#Automation #Workflow #SelfHosted #DevEnvironment