Open Source Project of the Day (Part 10): AgentEvolver - Self-Evolving Agent System for Autonomous Learning and Evolution

Introduction "If AI agents could evolve like biological organisms — autonomously discovering problems, accumulating experience, and optimizing strategies — they would no longer be static tools, but truly 'growing' intelligent entities." This is Part 10 of the "Open Source Project of the Day" series. Today we explore AgentEvolver ( GitHub ). Traditional AI agent training requires large amounts of manually annotated datasets — expensive and hard to scale. AgentEvolver uses three self-evolving mechanisms — Self-Questioning, Self-Navigating, and Self-Attributing — to enable AI agents to autonomously generate tasks, accumulate experience, and optimize strategies, achieving true self-evolution. What You'll Learn Core self-evolution mechanisms and how AgentEvolver works How the three mechanisms (Self-Questioning, Self-Navigating, Self-Attributing) work together How to set up and train a self-evolving agent system Service-oriented data flow architecture design Outstanding performance on AppWor