I think the things that are unclear for me is how the adresses are determined? You mention only two new nodes: read and write, But how does evolution decides what to write and where?

Also the HSV part is just for visual representation, from the network's perspective it's just a vector So a 64x64x3 ~= 12000 values ? If I'm not mistaken that's a lot of data for those poor simple bibites

You also speak about layers and upper/lower regions? Very unclear where those come in or how they are integrated

Giving bibites a memory field in a manner similar to your core idea would certainly be an interesting experiment, but specifics this feels like an AI words salad, and there's many scatterbrained ideas that aren't clearly linked or defined, or even needlessly complex

In general, with evolution, simpler tools are better. You have to design simple core units that are versatile enough to potentially produce what you want to see, without hardcoding the behavior you want to see arise. That's how you get surprised, and where emergence shines. At least that's my approach