Self-Evolving AI Agents: Your Essential Guide to Autonomous Intelligence Evolution

Awesome Self-Evolving Agents: A Comprehensive Guide Figure: A taxonomy of AI agent evolution and optimization techniques. It highlights three main paths—single-agent optimization, multi-agent optimization, and domain-specific optimization. Each branch shows methods developed between 2023 and 2025. Introduction Artificial Intelligence has advanced rapidly, moving beyond static models to more adaptive systems. While foundation models have provided strong baselines for reasoning, language, and problem-solving, their capabilities are limited when applied in dynamic, real-world contexts. This is where self-evolving AI agents come in. Unlike traditional models, these agents continuously improve their reasoning, memory, and collaboration capabilities. They are not just pre-trained and deployed; …