I built a cognitive architecture where the AI has actual needs that drift between sessions — not prompt engineering, actual state variables
I built a cognitive architecture where the AI has actual needs that drift between sessions — not prompt engineering, actual state variables

I built a cognitive architecture where the AI has actual needs that drift between sessions — not prompt engineering, actual state variables

Most AI companions fake continuity through prompt engineering. PHI // DRIFT does something different — seven homeostatic state variables that drift between sessions and shape output before you say a word. Memory is scored by emotional salience and time decay, not just vector similarity. There's a Jungian shadow module tracking unintegrated behavioral patterns as a first-class architectural variable.

Built solo in 9 months on a CPU-only mini tower. No GPU. No institution. Full preprint under review of SSRN

The field ignores depth psychology as an engineering input. I think that's a mistake.

github avalable if needed

submitted by /u/Interesting_Time6301
[link] [comments]