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Persistent agent memory costs come from LLM writes on every turn, not reads. Extraction and reconciliation dominate at 60-75% of cost. Batching writes, gating extraction, and using smaller models cut expenses. Reads stay cheap but latency-sensitive, bounded per user.
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