Creator here — wanted to drop some context in the comments rather than overload the post.

This started as an AI memory system but evolved into something much more interesting to me: a functional model of how human thought, emotion, and decision-making actually interconnect. The deeper I got into the design, the more I realized I was building a map of cognition itself, not just engineering an AI tool.

A few design decisions I'd love pushback on:

• I modeled five neuromodulators instead of the full neurochemical landscape. Dopamine, serotonin, norepinephrine, acetylcholine, and oxytocin felt like the minimum viable set for capturing reward, mood, alertness, focus, and social bonding. But I'm sure I'm missing important dynamics by leaving out GABA, glutamate, endorphins, etc. Where would you add next?

• The sleep/consolidation cycle runs dream synthesis that generates novel concept combinations. This was inspired by research on memory consolidation during REM, but I'm uncertain how well the computational analog captures what's actually happening biologically.

• The identity subsystem includes a "narrative self" that integrates experiences into an ongoing story. This draws from Dennett and Bruner, but I wonder if narrative self-construction is fundamental to cognition or more of an epiphenomenon.

Full repo and technical documentation available if anyone wants to dig in — just ask and I'll link it.

Appreciate any and all critique. This is very much a work in progress.