Creating a Nanobot-Inspired AI Agent in Google Colab

This guide walks you through the process of developing a compact AI agent, drawing inspiration from the nanobot framework. The tutorial is designed to be fully executable in Google Colab, ensuring clarity at each stage. We begin by establishing a provider abstraction, followed by the registration of tools, implementation of session memory, and lifecycle management. The focus is on building the essential components from scratch, allowing for a comprehensive understanding of how messages, tools, memory, and model responses interact within an operational agent loop. Key elements include creating a mock provider to simulate responses without needing an API key, thus providing a hands-on experience with the agent's functionality. By the end of this tutorial, you will have a functional AI agent capable of executing tasks using defined tools and maintaining context through session memory.