Self-Host n8n for Free with Local AI & Memory (Ollama) @leonvanzyl
Self-Host n8n for Free with Local AI & Memory (Ollama)  @leonvanzyl
Uploaded September 2025 | Updated September 2026, 3 weeks ago
πŸ“š Access ALL video resources & get personalized help in my community: skool.com/agentic-labs/about?ref=3fd61190e13d426dbf4f3b38adc7de69
πŸš€ Start building with n8n (use my link to support my channel ❀️): n8n.partnerlinks.io/f7f19w3vrhin
πŸ’¬ My AI voice-to-text software (Wispr Flow): wisprflow.ai/r?LEON114
β˜• Buy me a coffee: buymeacoffee.com/leonvanzyl
πŸ’΅ Donate using PayPal: paypal.com/ncp/payment/EKRQ8QSGV6CWW

🐳 Docker Desktop: docker.com
πŸ¦™ Ollama (Free AI Models): ollama.com
🌐 NGROK: ngrok.com
πŸ“§ Google Cloud Console: 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
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Self-Host n8n for Free with Local AI & Memory (Ollama)

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