I've found models to be terrible at creating useful memories, or doing anything incremental over time.

I am interested in if it's a fundamental limitation, ie models that have gaps that need to be corrected are going to be bad at recognizing those gaps, and leaving instructions to fix them. Or if models just aren't trained on this

It seems akin to my experience with coding agents, where models are good at implementation but not great at abstraction