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MemCompile: A framework for compiling long-term agent memories

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In brief

  1. MemCompile separates evidence retrieval from presentation to avoid redundancy.
  2. The system achieves 80.52% accuracy on the LoCoMo benchmark.
  3. It improves the quality-cost balance on conversational memory benchmarks.

MemCompile introduces a new framework to enhance long-term memory for conversational agents. It decouples evidence retrieval from presentation, improving answer quality while reducing redundancy. The system achieves 80.52% accuracy on LoCoMo and pushes the quality-cost Pareto frontier further on multiple benchmarks.

This summary gives you the essentials. The full article, its figures and quotes are on cs.AI updates on arXiv.org.

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