Anuma launches private AI with one memory across every

Anuma, a startup emerging from stealth mode, has launched a private AI assistant that maintains a unified memory across all your devices and applications — a concept the company calls "one memory across everything" that could address one of the most persistent frustrations of the current AI assistant landscape.

The problem Anuma is solving is real: if you tell ChatGPT about your dietary restrictions, it doesn't know that when you ask Siri for restaurant recommendations. If you set a reminder in Google Assistant, it doesn't appear in your Notion workspace. Every AI assistant operates in a silo, with no shared context, no persistent understanding of who you are, and no ability to act on information from other applications.

Anuma's approach runs AI models locally on your device — not in the cloud — which means your data never leaves your phone or computer. The assistant builds a unified profile by connecting to your calendar, email, notes, task manager, and other applications through APIs, creating a persistent context that travels with you across devices.

The privacy-first approach is both Anuma's biggest differentiator and its biggest limitation. Running models locally means no cloud processing, which is excellent for privacy but limits the computational power available for complex tasks. The assistant won't be able to match the reasoning capabilities of frontier models like GPT-4 or Claude for complex analysis, but for everyday tasks — scheduling, reminders, information retrieval, drafting — local models have become capable enough to handle the majority of use cases.

What This Means For You: If you've ever been frustrated by AI assistants that forget everything between conversations, Anuma's concept is worth watching. The "one memory" model is where personal AI is heading — not just smarter answers, but persistent understanding of your life, preferences, and context. The privacy trade-off is genuine: local processing means your data stays on your device, but it also means slower responses and less capable reasoning for complex tasks. If you're privacy-conscious and your AI use is primarily task management and information retrieval, this model could work well. If you need frontier-level reasoning for complex analysis, you'll still need cloud-based tools for that.