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Study Tests Agent Memory Without Extra LLM Summarization and Reranking

Finally a good paper testing whether agent memory needs an LLM at all. Production memory stacks spend extra model calls on summarizing interactions, writing records, and reranking retrievals. Every one of those calls costs tokens and latency, and the summaries quietly discard

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