What do you hate about AI memory systems today!
Everyone went crazy in 2025 after AI Memory. There are atleast a dozen launches in the space on product hunt from june-december, but the problem seems far from solved.
Are you using any of the current memory systems (platform specific or interoperable ones, doesn't matter).
What do you still hate in these systems? is it context repetition? is it hallucinations? is it inability to move between systems with your memory intact?
Want to wrap up the year knowing what people actually need!
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I hate that memory doesn't travel. I buld context in one product and lose everything switching tools. As a user, I don't care about platforms, I care about continuity. My brain is interoperable; Ai memory still isn't.
AI Context Flow
@tamar_waziri we built @AI Context Flow for exactly this purpose. Maybe it helps you with reducing the context switching tax.
Personally, I'm frustrated by memory without control. Either it remembers nothing useful or remembers things I didn't ask it to. I want selective, explainable memory, what was saved, why and how it'll be used later.
AI Context Flow
What bothers me most is repetition fatigue. Even with "memory," I still explain my role, goals and style again and again. It feels like groundhog day. If memory esists, I want fewer resets, not smarter marketing.
AI Context Flow
Honestly, hallucinated memory scares me more than no memory. Ehen AI invents preferences or past decisions and treats them as truth, trust erodes fast. I'd rather have partial memory than confident but wrong recall.
AI Context Flow
X-Design
The biggest frustration for me is memory without control.
Most AI memory systems either remember too little (forcing constant context repetition) or remember too much in ways that are opaque and hard to correct. I often don’t know what is being stored, why it’s being recalled, or how to edit or expire it.
A few concrete pain points:
Low signal-to-noise: trivial details get remembered while important preferences or long-term goals are lost.
No lifecycle management: memories don’t age, decay, or get versioned as my context changes.
Poor portability: switching tools usually means starting from zero, even though the “memory” is supposed to be about me, not the platform.
Shallow understanding: systems store facts, not intent, constraints, or trade-offs — so recall often feels technically correct but practically wrong.
What I’d want is explicit control: visibility, editability, scopes (short-term vs long-term), and portability across tools. Until memory feels more like something I own rather than something happening to me, it won’t fully click.
AI Context Flow