Anuma

Anuma combines multiple leading and open-source AI models in one conversational workspace, with a unified memory layer designed to retain relevant context when a user changes models, sessions, or agents. Private, Standard, and Council modes support different ways of working, from confidential one-model conversations to comparing several model responses. The platform also brings text, image, voice, video, slide, mini-app, and agent workflows into the same account, while memory controls let users inspect, edit, augment, export, or delete what the assistant remembers instead of repeatedly rebuilding context in separate tools.

Anuma describes itself as privacy-first, but users should still treat every connected model and integration according to the applicable provider terms and avoid assuming that encryption removes all operational or regulatory risk. Sensitive personal, client, legal, financial, health, or confidential business data should be shared only when authorized and after reviewing the current privacy, retention, model-routing, and deletion controls. AI responses and generated media can be inaccurate, biased, outdated, or rights-sensitive, so important claims, calculations, advice, citations, and permissions require human verification before publication or action.