I’m the creator of *Awesome-Self-Evolving-Agents*, a curated GitHub repository that compiles the latest papers, frameworks, and tools on *self-evolving AI agents*—systems capable of autonomously improving themselves based on interaction feedback.
I put this together because the field is rapidly evolving and fragmented. I couldn’t find a single, organized overview spanning foundational theory, architectural patterns, open-source frameworks, and implementations. This repo fills that gap, with structured sections such as:
- Conceptual frameworks and surveys (2025 papers included) - Open-source frameworks and tools - Implementation case studies (like EvoAgentX) - Multidisciplinary applications (coding agents, healthcare, finance, etc.)
Check it out here—no signups or paywalls, just browse: https://github.com/EvoAgentX/Awesome-Self-Evolving-Agents
I’d welcome your feedback: any missing papers, tools, better ways to structure the content, or suggestions for improvement.
Thanks for taking a look!