There is a design assumption baked into almost every vector database and AI memory implementation that sounds reasonable until you watch it grow nodes in production: that remembering more is always better.



Through testing and refining our AUDN code, that is not exactly correct.

After running VEKTOR Slipstream against real development sessions...