What Makes an Agent Self-Evolving?

The author argues that self-evolving AI agents can improve their performance without requiring new underlying models by modifying their surrounding harness, instructions, and memory over time. To achieve this, systems require reliable evaluation of task requirements rather than rigid string matching, autonomous processes to review failures and test changes, and modular harness design. Open article →