Jagarin：一种用于移动设备上休眠个人责任代理的三层架构
Jagarin: A Three-Layer Architecture for Hibernating Personal Duty Agents on Mobile
AI总结：
Jagarin通过三层架构解决移动设备上个人责任代理的休眠与唤醒问题，利用启发式引擎、身份代理和协议框架实现高效的责任管理。
摘要：
个人AI代理在移动设备上面临一个根本性的部署悖论：持续的后台执行会耗尽电池并违反平台沙箱策略，而纯粹的反应式代理则会错过时间敏感的义务，直到用户记得询问。我们提出了Jagarin，一种三层架构，通过结构化的休眠和需求驱动的唤醒来解决这一悖论。第一层，DAWN（责任感知唤醒网络），是一个设备上的启发式引擎，从四个信号中计算出一个综合的紧迫性分数：责任类型的最佳行动窗口、用户行为参与预测、不作为的机会成本以及跨责任批量共振。它使用自适应的用户特定阈值来决定休眠代理何时应该提示或升级。第二层，ARIA（代理中继身份架构），是一个商业电子邮件身份代理，将完整的商业收件箱——义务、促销优惠、忠诚度奖励和平台更新——通过消息类别路由到适当的DAWN处理程序，消除冷启动并去除手动数据输入。第三层，ACE（以代理为中心的交换），是一个用于从机构直接机器可读通信到个人代理的协议框架，取代了以人类为目标的电子邮件作为标准通道。这三层共同形成一个完整的堆栈，从机构信号到设备上的行动，无需持久的云状态、持续的后台执行或隐私妥协。一个工作原型在Android上用Flutter演示，结合了所有三层与一个仅在用户发起升级时调用的短暂云代理。
英文摘要：
Personal AI agents face a deployment paradox on mobile: persistent background execution drains the battery and conflicts with platform background limits, yet purely reactive agents miss time-sensitive obligations until the user remembers to ask. We present Jagarin, a three-layer architecture that resolves this through structured hibernation and demand-driven wake. DAWN (Duty-Aware Wake Network) is an on-device scoring engine that runs on the platform's periodic wake and combines four signals (duty-typed optimal action windows, predicted user engagement, the cost of delay, and cross-duty batching) with per-duty adaptive thresholds to decide whether a sleeping agent should stay silent, nudge the user, or offer escalation. ARIA (Agent Relay Identity Architecture) is a commercial email identity proxy that turns institutional email into structured duty records and routes messages by category, removing manual data entry. ACE (Agent-Centric Exchange) is a protocol for machine-readable communication from institutions to personal agents, intended to make email parsing unnecessary in the long run. DAWN and ACE are specified and evaluated in companion papers; this paper describes how the three layers fit together and a working Flutter prototype on Android that combines them with an ephemeral cloud agent invoked only when the user asks. Behavioural signals, thresholds and scoring never leave the device, and every record ARIA extracts is sealed to the device's public key before it is stored, so the relay holds only ciphertext it cannot read. Cloud model exposure is limited to parsing commercial email and to user-initiated escalation, which receives only the structured duty record.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
