REMORY
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- REMORY Uses Soft Memory Tokens for Agent Context Compaction
The REMORY paper introduces a neural memory network that appends bounded soft memory tokens after a textual summary, helping a frozen LLM approximate continuation from the full history. Its authors report that the approach approaches the full-context joint score on SummHay using 5.2% of input positions, while Qwen3.8-27B and GLM-5.3-Flash show fewer repeated tool outputs and tool errors on long-horizon agent benchmarks.
r/LocalLLaMA · 🔥 0
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