This repository provides a visual taxonomy and conceptual framework for understanding how AI agents evolve and optimize themselves over time. It categorizes research into single-agent optimization, multi-agent optimization, and domain-specific optimization approaches. The repository includes a companion open-source framework called EvoAgentX for automated evolution of agentic workflows, along with references to related research papers and methods in the space.