What is ANUMA AI?

Anuma is a private, local-first multi-model AI chat platform that preserves conversational context when switching between models.It uses a unified memory layer that persists across models, sessions, and agents to prevent context fragmentation.

Users can inspect, edit, export, add, or delete memory entries to retain control over personal data.Client-side encryption and a local-first architecture minimize external data exposure.The system does not log, store, or use user data for model training.

anuma supports integration with leading open-source models and provides session persistence for developers, researchers, and knowledge workers.

ANUMA AI user reviews

Based on 4 reviews, 0.0% of users recommend ANUMA AI.

recommend

don't

4 reviews

Disliked for

Lacks integrations 4 of 4

Missing features 3 of 4

Hard to use 2 of 4

Inconsistent results 1 of 4

Not worth the price 1 of 4

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ANUMA AI's key features

Local-first architecture
Client-side encryption
Unified persistent memory layer that preserves conversational context across models, sessions, and agents
User-controllable memory (inspect, edit, export, add, delete)
Integration with leading open-source models

ANUMA AI use cases

Create a private, searchable personal research assistant using anuma that preserves conversational context across open-source models and editable memory so you can pick up investigations across sessions with client-side encryption and no logging
Develop and maintain secure team SOPs, onboarding docs and knowledge bases in anuma by leveraging its unified editable memory and multi-model chat continuity to combine model strengths while keeping corporate data local-first and encrypted
Draft and iterate on sensitive case notes or patient summaries with anuma, switching between models for summarization, translation, and extraction while benefiting from session persistence, editable memory and client-side encrypted storage to protect confidentiality