ZetaChain 2.0 officially launched with Anuma, a large-scale model aggregation application centered on privacy, bringing privacy memory and AI interoperability.

PANews reported on January 27th that ZetaChain has officially launched its AI interoperability layer, ZetaChain 2.0, and simultaneously released Anuma, a large-scale model aggregation application focused on privacy. ZetaChain 2.0 is a brand-new AI interoperability layer designed to help developers build applications and agents that can run across AI models, enabling global monetization without requiring backend infrastructure while preserving private user context.

ZetaChain 2.0 consists of two core components: the AI ​​Portal and the Private Memory Layer. The AI ​​Portal serves as a unified routing and execution layer, enabling applications to access multiple AI model providers without lock-in, and includes built-in support for availability, fallback, and cost/performance optimization. The Private Memory Layer is a protocol-level memory system used to protect user context in an encrypted and access-controlled manner, enabling experiences to persist across sessions while maintaining user control over the scope of application and agent access.

Anuma is the first consumer-grade AI application based on ZetaChain 2.0. It is currently in beta and has a public waiting list, allowing users to apply for early access. The product integrates multiple leading AI models in a single experience, allowing users to switch between different models without losing context, and is designed to keep memories private and user-controlled.