GitHub taxonomy maps AI agent evolution, memory and A2A protocols

A taxonomy and curated catalogue organizing AI agent self-evolution, memory systems and agent-to-agent (A2A) communication has been published as the GitHub repository "awesome-agent-evolution." The repository sorts AI agent evolution into two top-level categories, "Single-Agent Optimization" and "Infrastructure & Protocols," with subcategories such as Memory Systems and A2A & MCP Protocols beneath them. A tree diagram written in Mermaid format lets readers survey at a glance the concepts, methods and implementations that have proliferated across the agent space.