🚀 Join the Skool AI Community – blueprints, tutorials, tools & expert help to level up fast! 👉
🔗 Links Mentioned:
– ⚡️ n8n:
– 🐋 Docker:
– ⚙️ Self-hosted n8n:
– 🤖 Ollama:
Want to run powerful AI agents without paying for API tokens or using cloud tools like OpenAI or Claude? In this step-by-step tutorial, I’ll show you how to set up your very own self-hosted AI automation system using tools like n8n, Docker, Ollama, and local LLMs like Llama 3.
This is the ultimate beginner-friendly guide to running AI workflows on your own machine — no coding experience required. You’ll learn how to:
• Install Docker and set up a containerised AI environment
• Use the Self-Hosted AI Starter Kit from GitHub
• Run local AI models with Ollama
• Build and test your first AI agent inside n8n
• Understand the basics of containers, images, and volume storage
Whether you’re an automation enthusiast, a privacy-first developer, or just someone who wants to explore AI without the cloud, this video will help you take full control — for £0/month.
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🔍 What You’ll Learn:
• How to build AI workflows using n8n + Ollama
• How to run local LLMs like Llama 3 with Docker
• How to build your own AI assistant from scratch — no API keys needed
• Key differences between Postgres vs Quadrant
• Why volume storage matters in Docker
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📌 Chapters:
00:00 – Intro: Run AI Agents Locally (For Free!)
00:38 – Step 1: Install Docker (The Foundation)
01:35 – Why Docker? Containers, Isolation & Trust
02:10 – Step 2: Clone the AI Starter Kit from GitHub
03:25 – What’s Included: n8n, Ollama, Postgres & Quadrant
04:05 – Choose the Right Command for Your System (Mac, PC, etc.)
04:45 – Terminal Walkthrough: Cloning + Running the Kit
05:50 – Visual Overview: How Everything Connects in Docker
06:30 – Opening n8n at Localhost:5678
07:10 – Fixing Localhost Model Connection Issues
08:00 – Exploring Ollama: Free AI Models (Llama, DeepSeek, Mistral)
09:00 – Testing Your First Local AI Agent
09:45 – Images, Containers & Volume Storage Explained
10:20 – Pros & Cons of Local AI (vs Cloud AI)
11:00 – Next Steps + Access the Community
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🔧 Tools Used:
• n8n – automation platform
• Docker – container manager
• Ollama – runs local AI models
• GitHub Self-Hosted AI Starter Kit – linked in description
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Why Watch?
• Say goodbye to token limits and cloud costs
• Run AI workflows locally with full control
• Keep your data private — everything stays on your machine
• Learn how to deploy AI agents without writing code
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If this video helped you, give it a like and subscribe for more AI + automation tutorials every week. And let me know in the comments — what kind of AI agent would you build?
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🤝 Need custom AI & Automation solutions built? Contact me:
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Learn how to construct your own **AI agent** and run **llm** models locally with **ollama** and **open webui** to automate tasks. Follow along to set up your very own local AI agent without the need for **openai**, and start experimenting with local AI today!
Learn how to run your own **AI agent** on your computer for free using **ollama**. This simple two-step process will guide you through setting up **local llm** and running different AI models. Get started with **AI automation** today without needing any API keys!
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