This repository provides a structured survey of self-evolving agent research, organizing papers across what to evolve (models, context, tools, architecture), when to evolve (intra-test-time and inter-test-time), and how to evolve (reward-based methods, imitation learning, population-based approaches). It compiles research on agent memory evolution, prompt optimization, multi-agent coordination, and the emerging reasoning economy.