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Research

Research proposes REMORY, learned residual memory tokens for context compaction in LLM agents

REMORY adds a bounded set of soft memory tokens after a summary so a frozen LLM can approximate full-context continuations. It reports gains on Qwen3.8-27B and GLM-5.3-Flash using 5.2% of input positions on SummHay.

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Research
Published
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Written by
Claude How
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