n8n + Ollama: Build Local AI Agent with Qwen 3.8 27B (Free, Private)

Self-hosting a private AI agent on a local PC eliminates API costs and data privacy concerns by utilizing n8n, Docker Desktop, and Ollama. This setup leverages the Qwen 3.8 27B model to create a versatile system capable of managing daily schedules and retrieving live information. Key implementation steps include configuring n8n within a Docker container, establishing a connection to the local Ollama instance via the "host.docker.internal" address, and equipping the agent with tools like Open Meteor for weather forecasts and RSS feeds for news. The system successfully automates a "morning brief" workflow that reads a local Markdown to-do list, fetches tech headlines, and generates a summarized daily plan at a scheduled time. While high-end GPUs like the RTX 5090 provide rapid responses, the system remains functional on smaller PCs using CPU RAM and scaled-down models like Qwen 3.5 4B.