# Anuma：跨模型统一记忆的私人AI工作空间

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-06-04 20:50
- AIHOT 分数：65
- AIHOT 链接：https://aihot.virxact.com/items/cmpzhvx9c03ntslkp79pepo99
- 原文链接：https://x.com/rohanpaul_ai/status/2062517226721444005

## AI 摘要

Rohan Paul 介绍 Anuma，一个私人 AI 工作空间，核心功能是跨模型统一记忆——用户在 ChatGPT、Claude、Gemini、Grok、DeepSeek、Kimi 等模型间切换时，上下文、偏好、目标和历史工作自动跟随。额外功能包括设备端加密记忆、默认隐私模式、无日志无训练、支持完整记忆导出、Council Mode（多模型并列回复对比）、单聊内模型切换，以及通过 iMessage 或 SMS 的 AI 文本能力。Paul 分享研究论文分析用例：上传多篇论文，利用多模态和多模型并行工作流，对比不同模型对同一主题的阅读、总结和关联能力，避免重复解释上下文。

## 正文

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.