Sparse knowledge graphs break down when assistants plan across days, author argues
maier_ak · x · 2026-09-24
The thread argues that while LLMs excel at QA, the thin knowledge-graph memory many assistant systems use fails when planning over days, tracking user preferences, or stitching evidence across many documents — motivating a better memory architecture.
Related event: WFM Paper Proposes Dense LLM-Wiki for Agent Memory(5 posts)→
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