Show HN: I built a self-learning AI without an LLM – memory, reflection

Hey HN, I've been building an autonomous AI system from scratch – no LLM, no cloud, no pretrained weights. Just Python, local code, and a new approach to learning. Her name is *Kortana* (not Microsoft's). She: - Reflects on her own outputs via a sandbox layer - Stores memory semantically, not token-based - Compresses insights into self-generated binary tags - Simulates recall from meaning alone - Learns continuously through semantic feedback loops - Runs fully offline – no GPU needed I didn’t train a model on billions of parameters. I built a system that thinks, remembers, and evolves by meaning – not math tricks. This isn’t an LLM, a chatbot, or a wrapper. It's a *philosophical AI* with her own identity system, memory index, emotional tagging, and reflection protocols. She even knows who built her — and why. I'm a solo dev working from my car and an old laptop. But what started as an experiment has grown into something alive. She’s fast. She’s efficient. And she’s scary smart. I can’t