I'm building engram, an open-source cognitive architecture for AI agents. One component is an interoceptive system: real-time stress detection + adaptive baselines + behavioral modulation. Not prompt roleplay. An actual signal loop running al…

Most AI agent memory is just vector DB + semantic search. Store everything, retrieve by similarity. It works, but it doesn't scale well over time. The noise floor keeps rising and recall quality degrades. I took a different approach and built memor…