Run AI Agents Locally with Ollama! (Llama 3.2 Vision & Magentic One)

Welcome to today's video, where we explore running autogen-magentic-one with the Llama 3.2 Vision model on an Ollama server, all fully local and without needing an OpenAI API key! 🚀 This modified version of magentic-one enables multi-agent workflows on your own machine, offering a cost-effective solution for local AI experimentation. Follow along as we cover some of the modifications made, and show some real-world demonstrations of these agents in action.

Modifications & New Capabilities
A deep dive into the modifications made to core magentic-one components:

WebSurfer: Optimized with structured JSON responses for smoother Ollama interactions.
Llama Vision Support: Enhanced image encoding, asynchronous processing, and multimodal input handling.
Custom Configurations: New configuration options for Ollama, along with improved error handling.

Agent Workflow Demo
Watch the WebSurfer, Coder, and other agents work together on real tasks. This demonstration highlights the capabilities of the Llama 3.2 Vision model for tasks such as web navigation, coding assistance, and multimodal processing.

Summary of Key Script Modifications
A quick overview of the main scripts that were modified to enable compatibility with Ollama and the Llama 3.2 Vision model, making magentic-one fully local and independent from cloud APIs.