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...