Cognee organizes your data into AI memory. It builds structured AI memory by transforming raw data into a modular, queryable knowledge graph powered by embeddings. Like any complex system, it depends on many hyperparameters that shape performance in subtle ways. This talk shows how systematic tuning can improve AI memory, what current evaluation methods reveal (and miss), and why future progress will depend as much on better evaluation and optimization as on new architectures.