Imagine the implications if the permanent memory of your AI agent inadvertently recorded the actual name of a client. During Walrus Session 7, @UyLeQuoc tackled this exact scenario by conducting an audit on the cross-tool memory prompt known as Continuum. This thorough review led to the successful resolution of two crucial vulnerabilities regarding privacy and ranking.
To address these issues, the first solution introduced local client codenaming, which guarantees that personal identities are kept securely off-chain. The second improvement established monthly namespaces, a change designed to prioritize time-based sorting rather than relying on semantic rank.
You can explore the comprehensive security audit and access the prompt for yourself at this link: https://inkray.xyz/article?id=i-gave-my-ai-a-memory-it-can-never-delete-then-i-read-what-it-was-about-to-write-701fd1d0f587c800
To address these issues, the first solution introduced local client codenaming, which guarantees that personal identities are kept securely off-chain. The second improvement established monthly namespaces, a change designed to prioritize time-based sorting rather than relying on semantic rank.
You can explore the comprehensive security audit and access the prompt for yourself at this link: https://inkray.xyz/article?id=i-gave-my-ai-a-memory-it-can-never-delete-then-i-read-what-it-was-about-to-write-701fd1d0f587c800
