Latent Space Labs
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latent_space_labs "It has a 200K context window, so it remembers everything." Not quite — and the difference matters when you build. A context window is a working buffer, not memory. Attention has to re-scan the entire buffer for every new token it generates — the KV cache saves recompute, not the searching — so the model re-finds the needle each time, and when the session ends, nothing persists. Nothing was ever written anywhere. Memory implies consolidation: selecting what matters, writing it to storage, retrieving and updating it later. Models don't do that natively. Every "memory" feature you've used is engineering around the model — summaries, vector stores, scratchpad files — that re-inserts text into the buffer next time. The practical rule: if information needs to survive the session, something outside the model has to write it down.
7/15/2026