BabyAGI

BabyAGI is an experimental framework designed to advance artificial general intelligence (AGI) by focusing on creating self-building autonomous agents. Developed by Yohei Nakajima, it uses Python, OpenAI, and Pinecone to facilitate task management and implement learning algorithms that mimic human cognitive development. The framework introduces a graph-based function management system for storing, managing, and executing functions, with features like automatic loading, comprehensive logging, and a dashboard for function updates.