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A Taxonomy of Self-evolving Agents
Shilong Liu proposes a taxonomy to categorize self-evolving agents into three types: artifact optimization, harness self-improvement, and model learning.
What: The framework distinguishes evolution occurring in output artifacts, agent infrastructure, or model weights, offering a structured language for evaluating systems like the Hermes Agent and RSI Lab's recursive algorithm discovery.
Why it matters: Standardizing terminology is necessary to move agent research beyond anecdotal success stories toward repeatable engineering practices.
Original article
A Taxonomy of Self-evolving Agents
Self-evolving agents are becoming popular. Hermes Agent enables automatic reusable skills. RSI Lab tries to discover new algorithms recursively.
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