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This thread discusses best practices for building unified memory layers with knowledge graphs, emphasizing the separation of entity resolution (naming) from deduplication (identity) to avoid graph corruption. It also highlights using orchestration tools like PrefectIO to manage expensive LLM extraction pipelines with checkpointing and caching.
A reflection on the hidden costs of switching memory tools in AI agent systems after months of production, compared to the triviality of swapping models.