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- MEMCUT tests whether AI agents truly forget deleted secrets
Researchers from Hong Kong University of Science and Technology (Guangzhou), the University of Science and Technology of China, and Hong Kong University of Science and Technology built MEMCUT to evaluate user-requested forgetting in AI agent memory. Across five memory architectures and four large language models, 85%–99% of secrets remained recoverable after only direct disclosures were deleted, while LLM-assisted cleanup still left 39%–76% derivable from residual evidence. The benchmark distinguishes native recovery through a system’s retriever from residual recovery when all surviving memory records are provided.
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