The Model Does Not Need Memory. The Situation Does.

This is a conceptual piece, not a tool, but the framing is sharp enough to be worth flagging this week given how much agent memory architecture is being actively debated. The core argument: stop asking whether a model has memory and start asking what the active situation needs to know. That reframe moves the design question from 'which embedding store do I use' to 'what state does this interaction require' — a more productive starting point for building stateful workflows. It is short, opinionated, and does not require you to agree with every conclusion to walk away with a better mental model. Reservation: it stays conceptual throughout, so if you are looking for implementation guidance or a specific library recommendation, this will not deliver that. It is a thinking tool, not a building tool. -> Best for: AI engineer or solo founder designing stateful agent or workflow systems