@rohanpaul_ai: Most AI workflows break because the user has to carry the context manually, and Anuma is trying to make that context po…

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Summary

Anuma is a private AI workspace that provides portable, encrypted memory across multiple AI models, enabling seamless context and multi-model comparison for efficient research workflows.

Most AI workflows break because the user has to carry the context manually, and Anuma is trying to make that context portable, private, and usable across models. Anuma is a private AI workspace built around 1 memory across every model, so your context, preferences, goals, and past work can follow you across ChatGPT, Claude, Gemini, Grok, DeepSeek, Kimi, and others. It also adds on-device encrypted memory, Private Mode by default, no logs, no training, full memory export, Council Mode, model switching inside 1 chat, and AI texting through iMessage or SMS. I integrated Anuma into my AI workflow and for me, the strongest use case research paper analysis: I’m uploading 3 different papers on the same topic, then using Anuma’s multimodal and parallel multi-model workflow to compare how different models read, summarize, question, and connect the papers. That is where Council Mode becomes useful, because you can see multiple model responses side by side instead of trusting 1 answer blindly. No more opening 5 separate AI tabs and re-explaining the same research context again and again, I can keep the same memory, switch models, compare answers, and continue the analysis in 1 place.
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Cached at: 06/05/26, 11:14 AM

Most AI workflows break because the user has to carry the context manually, and Anuma is trying to make that context portable, private, and usable across models.

Anuma is a private AI workspace built around 1 memory across every model, so your context, preferences, goals, and past work can follow you across ChatGPT, Claude, Gemini, Grok, DeepSeek, Kimi, and others.

It also adds on-device encrypted memory, Private Mode by default, no logs, no training, full memory export, Council Mode, model switching inside 1 chat, and AI texting through iMessage or SMS.

I integrated Anuma into my AI workflow and for me, the strongest use case research paper analysis: I’m uploading 3 different papers on the same topic, then using Anuma’s multimodal and parallel multi-model workflow to compare how different models read, summarize, question, and connect the papers.

That is where Council Mode becomes useful, because you can see multiple model responses side by side instead of trusting 1 answer blindly.

No more opening 5 separate AI tabs and re-explaining the same research context again and again, I can keep the same memory, switch models, compare answers, and continue the analysis in 1 place.

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