AI RESEARCH
Opal: Private Memory for Personal AI
arXiv CS.AI
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ArXi:2604.02522v1 Announce Type: cross Personal AI systems increasingly retain long-term memory of user activity, including documents, emails, messages, meetings, and ambient recordings. Trusted hardware can keep this data private, but struggles to scale with a growing data. This pushes the data to external storage, which exposes retrieval access patterns that leak private information to the application provider.