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ZetaChain x Verona: asking 300,000 users what AI should remember
ZetaChain and Verona open the first study of what people want AI to remember, what it should never keep, and what they would let it share. More than 300,000 people have joined Anuma, each with a private AI memory. The survey is anonymous and takes five minutes.
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Persistent AI Memory: Production Architecture Patterns
Start building persistent AI memory for production apps with practical patterns for safe writes, precise retrieval, user control, testing, and portability.
AI Memory Privacy: A Threat Model for Developers
Start building safer agents with an AI memory privacy threat model for capture, retrieval, tools, storage, consent, deletion, and user-controlled access.
AI Agent Identity for Portable Multi-Model Context
Start building AI agent identity with portable private memory, scoped permissions, durable context, and clearer controls for secure multi-model applications.
Encrypted AI Agent Memory: Secure Personalization
Start building encrypted AI agent memory with user-owned keys, scoped retrieval, safe key rotation, and practical personalization patterns for AI agents.