blog

A language model trains once and stops learning. Memory is not the feature that's missing. State is: a living, revisable record of everything the model has met since, and the discipline of keeping it navigable, current, and fluent.

Automation replaces; augmentation remembers. On building agent continuity as a coherence problem: vectors and graphs, write-time integration, local ownership, and a shared mind that travels with you across apps.