GitHub Repo Tracks the Evolution and Frameworks of Self-Evolving AI Agents
tom_doerr · x · 2026-08-12
This repository provides a comprehensive survey on self-evolving AI agents, aiming to bridge foundation models and lifelong agentic systems.
It outlines a visual taxonomy of agent evolution and optimization techniques, categorized into three major directions:
- Single-agent optimization: Includes training-based behavior optimization like SFT.
- Multi-agent optimization
- Domain-specific optimization
The project also features related open-source frameworks and papers, such as EvoAgentX and MASLab, illustrating the development path and representative methods in this field from 2023 to 2025.
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