Odysseus AI setup with Ollama and Llama 3.2

This tutorial sets up Odysseus AI as a self-hosted workspace connected to Ollama. The speaker presents it as a ChatGPT alternative with local storage for chats, documents and settings. The walkthrough uses Llama 3.2, described as a small 1B model, and Google Antigravity as the coding environment.

The setup starts with installing Ollama and downloading the model through its terminal command. A Python workspace script checks available models with ollama list, creates directories and writes configuration. The script hardcodes Llama 3.2, though the speaker explains that users can select another installed model. An .env file holds the model configuration and an external API URL when needed. The final demonstration opens the dashboard and tests a greeting and a basic arithmetic question.

The speaker also outlines Docker Compose installation, native Linux and macOS setup, and a Windows PowerShell route. Authentication should remain enabled; remote access should use a reverse proxy with HTTPS.

The feature overview describes an AI agent with file and command access, hardware-based model recommendations, research, document editing and calendar tools. These broader capabilities receive an overview rather than detailed testing. The workspace can also connect to paid APIs, so the speaker's privacy claims depend on the chosen configuration.