I built a layer for AI that turns visual input into structured memory.
scanOS is a configurable ingestion layer for LLMs that controls how visual information become normalized data.
Input→recognition→structured output.
When similar inputs appear again, they’re written into the same structure — even if the source formats differ.
In MetaMemoryWorks, scanOS is one entry point for downstream modules like trainingOS or nutritionOS.