AIBullisharXiv – CS AI · Mar 166/10
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Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval Preservation
Researchers developed a structured distillation method that compresses AI agent conversation history by 11x (from 371 to 38 tokens per exchange) while maintaining 96% of retrieval quality. The technique enables thousands of exchanges to fit within a single prompt at 1/11th the context cost, addressing the expensive verbatim storage problem for long AI conversations.