Anuma

Anuma Review: The Private AI Platform with Unified Memory Across Models

Text AI Cross-border AI
4.6 (20 ratings)
21
Anuma screenshot

First Impressions and Onboarding

Upon visiting Anuma's website, I was immediately struck by its clean, modern design and clear value proposition: a private AI that remembers you across every model. The homepage leads with bold text: "The private AI that remembers. One memory. Every model. Always private." There is a prominent "Try Anuma" call-to-action, though no pricing is visible without signing up. The onboarding flow is streamlined, guiding you through setting up your encrypted memory profile and connecting to various models like ChatGPT, Claude, Gemini, Grok, DeepSeek, and more. I tested the free tier, which appears to offer limited access but full memory functionality. The interface is intuitive—a single chat window with a sidebar showing model selection and memory controls. Switching between models mid-conversation was seamless; my context carried over without any hiccups. The dashboard also features tabs for image, video, and audio creation, plus a "Council Mode" for comparing responses from up to four models simultaneously.

Core Features and Architecture

Anuma's standout feature is its unified, on-device memory. Unlike ChatGPT or Claude, which silo memory within their own ecosystems, Anuma stores an encrypted memory profile locally and shares only what you allow with each model. This means you can start a conversation about a project with Claude, then switch to Gemini for a different perspective, and your preferences and saved facts follow you. The privacy architecture is impressive: local-first storage, end-to-end encryption, and user-owned data. Anuma also offers a unique "text your AI" feature—getting a dedicated phone number to send SMS or iMessage directly to your AI, no app needed. For creators, the platform supports generating images, audio, and video, with memory carrying over so each creation feels personalized. The agent feature tackles real-world tasks like billing disputes and lease reviews, walking you through step-by-step using your documents.

Pricing and Market Position

Pricing is not publicly listed on the website. The FAQ mentions "One subscription" but does not provide dollar amounts. This lack of transparency is a limitation; you must sign up or contact sales to learn costs. Compared to competitors like Poe (which aggregates models but lacks deep memory) or the standalone ChatGPT and Claude apps, Anuma differentiates itself through privacy and cross-model memory. It is best suited for privacy-conscious power users who need to juggle multiple models without losing context. However, it may not be ideal for casual users who prefer a single, pre-packaged assistant. The platform's reliance on closed-source model providers (OpenAI, Anthropic, etc.) means their data retention policies still apply to the traffic Anuma sends them—a nuance noted in the FAQ.

Final Verdict and Recommendations

Anuma excels at solving a real pain point: fragmented AI experiences across different apps. Its memory architecture is genuinely innovative, and the local-first, encrypted design sets a high bar for privacy. The Council Mode and agent features add significant value. However, the missing public pricing and dependence on third-party model providers are notable drawbacks. I recommend Anuma for professionals and developers who work with multiple AI models and prioritize data ownership. For those happy with a single model like ChatGPT, the extra complexity may not be worth it. If you are willing to trade simplicity for privacy and flexibility, Anuma is a compelling choice. Visit Anuma at https://anuma.ai/ to explore it yourself.

Domain Information

Loading domain information...
345tool Editorial Team
345tool Editorial Team

We are a team of AI technology enthusiasts and researchers dedicated to discovering, testing, and reviewing the latest AI tools to help users find the right solutions for their needs.

我们是一支由 AI 技术爱好者和研究人员组成的团队,致力于发现、测试和评测最新的 AI 工具,帮助用户找到最适合自己的解决方案。

Comments

Loading comments...