Anuma

Unlike conventional AI assistants that treat each conversation as a fresh blank slate, Anuma maintains a unified understanding of who the user is their projects, preferences, ongoing work, and context and carries this understanding into every interaction, whether the user is accessing the platform through the web app, mobile application, or via SMS and iMessage from a dedicated phone number.

The multi-model access layer is one of Anuma's most practical features. Users can interact with GPT-4o, Claude, Gemini, and open-source models like DeepSeek and Kimi from a single interface, with the persistent memory layer ensuring that context carries consistently across all of them.

This means users are not locked into a single AI provider's ecosystem they can choose the best model for each specific task while retaining the continuity of context that makes Anuma feel like a single, relationship-based AI rather than a collection of disconnected tools.

Privacy architecture in Anuma goes substantially further than standard data handling disclosures.

Memory is encrypted client-side using keys derived from the user's own wallet before any data reaches Anuma's servers, meaning the platform's infrastructure routes requests to AI models while operating on encrypted payloads it cannot itself decrypt.

Even in a worst-case server compromise scenario, an attacker would encounter cryptographic noise rather than readable conversation data a security posture that makes Anuma genuinely suitable for users with meaningful privacy requirements.

The SMS and iMessage integration is a particularly distinctive aspect of Anuma's design.