Tag
The article presents a published architecture (research paper) for AI companions with persistent state, internal need variables, and memory scoring, seeking investment. The system, PHI // DRIFT, includes 18k+ lines of code and a real-time telemetry dashboard.
Describes PHI // DRIFT, a cognitive architecture with seven homeostatic state variables that drift between sessions, memory scored by emotional salience and time decay, and a Jungian shadow module, built on a CPU-only mini tower and submitted as a preprint to SSRN.