why is every AI memory tool still unreliable or am I using it wrong?
I use Claude, GPT, and their built-in memories a lot, but unfortunately, they are too inconsistent. They cannot remember which needs, or even cannot give the exact context most of…
By Yusuf Ahmed
I use Claude, GPT, and their built-in memories a lot, but unfortunately, they are too inconsistent. They cannot remember which needs, or even cannot give the exact context most of the time which is needed. This might not affect normal things, like polishing emails. But it highly affects long-term or complex projects. Moreover, it works only inside that exact AI. I also tried some external tools like Mem0 and Supermemory; they are a little better, but they are too extremely inconsistent for big, complex, or long-term projects. Do you think I'm doing something wrong? Or is there an existing solution which I don't know, or is it really a bug that hasn't been solved yet? submitted by /u/He_Mustakim [link] [comments]
It is part of a broader wave of investment and competition across the AI industry, as companies race to turn research progress into shipped products.
