Why we built a 7-layer cognitive memory for AI agents

Every AI agent framework has the same blind spot: memory. You can give your agent tools, planning capabilities, and access to APIs. But between sessions, it forgets everything. The next conversation starts from zero. Context is gone. Preferences are gone. Learned behaviors are gone. The common fix is RAG - text as vector embeddings, retrieve by similarity. It works for document search. It has emotion. It has decay. Things that don't matter fade away. Things that matter get reinforced. Similar experiences merge into generalized knowledge.