Waving Cat Learning Systems

We build brain-like memory infrastructure for AI agents. Not databases but substrates. A 16-million-cell binary lattice with neuromorphic primitives: Hebbian learning, kWTA, attractor dynamics, content-addressable retrieval. Agents retrieve by content (no LLM in the memory loop), navigate episodic chains, and reconstruct patterns from partial cues in dozens of test cases. Production retrieval validated across three independent fleets and a clinical dataset.