The problem with every AI product right now is that they're all wrappers. Same stateless LLM, different UI. The moment the context window closes, the AI forgets you existed.
I built the infrastructure layer that fixes that.
PHI // DRIFT gives an AI companion persistent state — seven internal need variables that drift between sessions, memory scored by what emotionally mattered not just what was semantically close, and a real-time telemetry dashboard showing the AI's internal state as it runs.
This isn't a product yet. It's a published architecture with a research paper, 18k+ lines of working code, and 10 GitHub stars in the first 24 hours with zero marketing spend.
The SaaS opportunity is clear: — Every company building AI companions needs this infrastructure layer — Enterprise AI that actually remembers context across sessions commands premium pricing — Security tooling that maintains reasoning state across bug bounty sessions is immediately monetizable
I built this in 5 months on consumer hardware with $0. Imagine what happens with actual help
[link] [comments]