ZetaChain unveils Anuma, a private memory layer for AI
Anuma's unified memory layer could revolutionize AI interactions by enhancing user control and reducing redundancy in AI subscriptions. The post ZetaChain unveils Anuma, a private memory layer for AI appeared first on Crypto Briefing.

ZetaChain unveils Anuma, a private memory layer for AI The cross-chain network is betting its future on letting users carry encrypted AI context across ChatGPT, Claude, and Gemini without losing privacy or continuity. Share Add us on Google by Editorial Team Jun. 18, 2026 Here’s a problem most people don’t think about until it’s annoying: every time you switch between AI tools, you start from scratch.
Your ChatGPT conversation history means nothing to Claude. Your Gemini preferences don’t carry over anywhere. ZetaChain thinks it has a fix.
The blockchain network has launched Anuma, which it calls a “private memory layer for AI,” designed to let users store encrypted, portable context that works across multiple AI platforms. The product hit 100,000 users within 38 days of going public. What Anuma actually does Think of Anuma as a personal vault for your AI interactions.
Instead of each AI model maintaining its own siloed understanding of who you are and what you need, Anuma creates a unified memory layer that travels with you. Your preferences, conversation history, and contextual data get encrypted on your device and stored in a way that any compatible AI application can access, but only with your permission. The encryption runs on AES-GCM.
Your data gets scrambled before it ever leaves your device, and only you hold the keys to unscramble it. No centralized server, no AI company, and no blockchain validator can read your memory vault without your explicit consent. Advertisement The platform also includes a feature called Memory Import, which lets users bring existing context from other AI tools into the Anuma ecosystem.
Programmable permissions give users granular control over which applications can access which parts of their stored memory. ZetaChain’s ZETA token handles access fees, usage settlements, and creator rewards within the ecosystem. From cross-chain bridges to AI infrastructure The network originally built its reputation on cross-chain interoperability, connecting different blockchains so assets and data could move between them.
That infrastructure attracted a historical user base of 12 million with over 240 million transactions processed. ZetaChain 2.0 and the Anuma beta launched on January 27, 2026.
By June 1, 2026, ZetaChain made the transition official, announcing it would focus exclusively on AI memory infrastructure. Anuma reached 60,000 users in its first month after launch, then crossed the 100,000 threshold just 38 days after going public. Why this matters for the AI subscription economy Only about 9% of users currently pay for multiple AI subscriptions.
Each subscription exists in isolation, which means users are essentially paying multiple times to teach multiple AIs the same things about themselves. Right now, when you use ChatGPT, OpenAI stores your conversations. When you use Claude, Anthropic does the same.
Your AI interactions are scattered across multiple corporate servers, each governed by different privacy policies. Anuma’s client-side encryption model keeps the user in control of the data layer. Disclosure: This article was edited by Editorial Team.
For more information on how we create and review content, see our Editorial Policy. AI ZetaChain unveils Anuma, a private memory layer for AI The cross-chain network is betting its future on letting users carry encrypted AI context across ChatGPT, Claude, and Gemini without losing privacy or continuity. by Editorial Team Jun.
18, 2026 Share Add us on Google Here’s a problem most people don’t think about until it’s annoying: every time you switch between AI tools, you start from scratch. Your ChatGPT conversation history means nothing to Claude. Your Gemini preferences don’t carry over anywhere.
ZetaChain thinks it has a fix. The blockchain network has launched Anuma, which it calls a “private memory layer for AI,” designed to let users store encrypted, portable context that works across multiple AI platforms. The product hit 100,000 users within 38 days of going public.
What Anuma actually does Think of Anuma as a personal vault for your AI interactions. Instead of each AI model maintaining its own siloed understanding of who you are and what you need, Anuma creates a unified memory layer that travels with you. Your preferences, conversation history, and contextual data get encrypted on your device and stored in a way that any compatible AI application can access, but only with your permission.
The encryption runs on AES-GCM. Your data gets scrambled before it ever leaves your device, and only you hold the keys to unscramble it. No centralized server, no AI company, and no blockchain validator can read your memory vault without your explicit consent.
Advertisement The platform also includes a feature called Memory Import, which lets users bring existing context from other AI tools into the Anuma ecosystem. Programmable permissions give users granular control over which applications can access which parts of their stored memory. Z
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