I think there's a critical flaw with Anthropic's approach to memory which is that they seem to hide it behind a tool call. This creates a circularity issue: the agent needs to "remember to remember." Think how screwed you would be if you were consciously responsible for knowing when you had to remember something. It's almost a contradiction in terms. Recollection is unconscious and automatic, there's a constant auto-associative loop running in the background at all times. I get the idea of wanting to make LLMs more instrumental and leave it to the user to invoke or decide certain events: that's definitely the right idea in 90% of cases. But for memory it's not the right fit. In contrast OpenAI's approach, which seems to resemble more generic semantic search, leaves things wanting for other reasons. It's too lossy.
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