发表机构
Zhejiang University（浙江大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
nanoMuse是GPL-3.0许可的开源个人智能体，在用户所有设备上运行，通过可自托管的转发服务器共享对话，以Sentinel审核动作、文件化记忆和可选模型，实现跨设备持久协作。
AI 中文摘要
2011年的助手会回答问题并等待，2023年的智能体执行一项任务后停止。2026年9月，Meta的Muse展示了一个为单个人服务的智能体，它拥有账户、设备、记忆和持续进行的对话，但封闭在供应商的云中，且局限于一个国家。这样的智能体被期望能操作个人的账户和设备，跨数周记住信息，在值得时主动发言，并为其行为负责。它是一种软件而非模型，且至今没有开源对应物。本报告通过五个问题和三个视野来定义个人智能体。它基于Meta的公开记录及其生产提示的副本，解读Muse的构建方式，每条陈述均标注来源。随后，它介绍了nanoMuse——在GPL-3.0许可下的开源对应物，在一个人拥有的每台设备上运行一个智能体，能直接操作手机屏幕和计算机屏幕。它们通过一个任何人都能运行的转发服务器共享同一对话；每个动作都经过Sentinel，记忆是个人可读的文件，模型由用户自行选择。其规模和成本以估算形式给出。开放的内容、带来源的记忆、用于操作手部的评估套件以及用于它们的开放模型，被列为路线图。
英文摘要
Assistants from 2011 answered and waited, and agents from 2023 did a task and stopped. In September 2026 Meta's Muse showed an agent for one person, with accounts, devices, memory and a conversation that lasts, closed, in a vendor's cloud, in one country. Such an agent is expected to act on a person's accounts and devices, remember them across weeks, speak first when it is worth it, and answer for what it did. It is a kind of software, not a model, and until now had no open counterpart. This report defines the personal agent in five questions and three horizons. It reads how Muse is built from Meta's public record and a copy of its production prompt, each statement marked by its source. It then presents nanoMuse, the open-source counterpart under the GPL-3.0, one agent on every device a person owns, with hands on the phone's screen and the computer's. They share one conversation over a relay anyone can run; every action goes through a Sentinel, memory is files the person can read, and the model is their choice. Its size and cost are given as estimates. What is open, memory with provenance, an evaluation suite for the hands and an open model for them, is set out as a roadmap.
Comments12 pages, 6 figures, 2 tables. Project page: https://nanomuse.cn ; Code: https://github.com/nano-muse/nanoMuse
