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The author shares five mistakes made while building a unified memory layer for AI agents using knowledge graphs and ontologies, emphasizing that agent memory is a data-modeling problem rather than a retrieval problem.
The article shares decks from the Knowledge Graph Conference (KGC) 2026, highlighting a trend of enterprises deploying production-grade knowledge graphs for reasoning and governance rather than just vector retrieval.