I ran into a memory problem while building a reflective AI product.
The easy version of AI memory is tempting:
Save useful facts about the user.
Put them back into the next prompt.
Call it memory.
That can work for low-risk personalization.
It is probably fine if an assistant remembers that a repo uses pnpm, or that a user prefers short...
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