Your framework name suggests that you have an effective method of taking an existing agent that is "close" to meeting requirements by some similarity metric and evolving a new agent that will be better suited than the base agent is to meet the requirements.

If this is true, your post, your repo README file, and your BeeAI Community call presentation (which starts here: https://www.youtube.com/watch?v=5-xqQBv-ccY&t=1294s) ought to be proclaiming such a notable success. Yet, I've seen little to nothing about it in any of those places. Am I missing it?

How exactly does your agent evolution process work?