Self-Host n8n for Free with Local AI & Memory (Ollama)
📚 Access ALL video resources & get personalized help in my community: https://www.skool.com/agentic-labs/about?ref=3fd61190e13d426dbf4f3b38adc7de69 🚀 Start building with n8n (use my link to support my channel ❤️): https://n8n.partnerlinks.io/f7f19w3vrhin 💬 My AI voice-to-text software (Wispr Flow): https://wisprflow.ai/r?LEON114 ☕ Buy me a coffee: https://www.buymeacoffee.com/leonvanzyl 💵 Donate using PayPal: https://www.paypal.com/ncp/payment/EKRQ8QSGV6CWW 🐳 Docker Desktop: https://docker.com 🦙 Ollama (Free AI Models): https://ollama.com 🌐 NGROK: https://ngrok.com 📧 Google Cloud Console: https://cloud.google.com Learn how to set up n8n completely for free using Docker Desktop, Ollama AI models, and PostgreSQL database. This comprehensive tutorial shows you how to create powerful AI chatbots and agents without any subscription costs. You'll discover how to use free open-source AI models through Ollama, set up persistent conversation memory with PostgreSQL, build custom knowledge bases from Google Drive documents, and expose your n8n instance publicly using NGROK for WhatsApp and Telegram integration. ⏰ TIMESTAMPS: 00:00 - Free N8n setup overview 00:27 - Installing Docker Desktop and WSL setup 01:42 - Downloading and running N8n container 02:27 - Creating your first N8n workflow and AI agent 04:16 - Setting up Ollama for free AI models 06:02 - Connecting Ollama to N8n chat model 07:08 - Adding conversational memory to your agent 08:38 - Setting up PostgreSQL for persistent storage 12:04 - Building knowledge base with Google Drive integration 13:00 - Creating Google Cloud project and OAuth setup 16:00 - Document processing and vector embeddings 19:38 - Making N8n publicly accessible with NGROK 21:40 - Testing public chat interface and wrap up #n8n #ollama #docker
