When I reverse-engineered ChatGPT’s memory system, I found it uses pre-computed summaries injected into every prompt. But Claude’s approach is different. Through extensive experimentation, I discovered Claude uses on-demand tools and selective retrieval, a fundamentally different architecture. But how does this actually work? And how does it compare to ChatGPT’s approach?
This is the second post in a series where I reverse-engineer the memory systems of popular AI assistants. The first post focused on ChatGPT’s memory system.
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