让手机上的个人助理在休眠中高效响应重要任务，不耗电也不越界。
Jagarin: A Three-Layer Architecture for Hibernating Personal Duty Agents on Mobile
- 三层架构实现按需唤醒：通过任务紧迫度、用户行为等信号判断何时提醒。
- 无需常驻后台，靠邮件代理和机构直连协议实现零持续运行的响应。
- 适合关注隐私与续航的移动AI用户，尤其适合有日程管理需求的人。
个人AI助理在移动端面临根本性矛盾：持续后台运行耗电且违反平台沙盒策略，而纯被动模式又会错过时间敏感的任务。本文提出Jagarin三层次架构，通过结构化休眠与需求驱动唤醒解决该矛盾。第一层DAWN（任务感知唤醒网络）是本地启发式引擎，综合四种信号——任务最优行动窗口、用户行为参与度预测、不作为的机会成本、跨任务批量共振效应——计算复合紧迫度，并用自适应用户阈值决定是否推送或升级。第二层ARIA（代理身份架构）是商业邮箱身份代理，将完整商业邮箱内容——任务、促销、积分奖励、平台更新——按类别路由至对应DAWN处理模块，消除冷启动并免去手动输入。第三层ACE（代理中心交换协议）是机构到个人代理的直接机器可读通信框架，取代面向人类的邮件作为标准通道。三者共同构成从机构信号到设备端动作的完整链路，无需持久云端状态、持续后台运行或牺牲隐私。一个基于Flutter的安卓原型已实现，集成全部三层，仅在用户主动触发升级时调用临时云端代理。
原文摘要 · Abstract (English)
Personal AI agents face a fundamental deployment paradox on mobile: persistent background execution drains battery and violates platform sandboxing policies, yet purely reactive agents miss time-sensitive obligations until the user remembers to ask. We present Jagarin, a three-layer architecture that resolves this paradox through structured hibernation and demand-driven wake. The first layer, DAWN (Duty-Aware Wake Network), is an on-device heuristic engine that computes a composite urgency score from four signals: duty-typed optimal action windows, user behavioral engagement prediction, opportunity cost of inaction, and cross-duty batch resonance. It uses adaptive per-user thresholds to decide when a sleeping agent should nudge or escalate. The second layer, ARIA (Agent Relay Identity Architecture), is a commercial email identity proxy that routes the full commercial inbox -- obligations, promotional offers, loyalty rewards, and platform updates -- to appropriate DAWN handlers by message category, eliminating cold-start and removing manual data entry. The third layer, ACE (Agent-Centric Exchange), is a protocol framework for direct machine-readable communication from institutions to personal agents, replacing human-targeted email as the canonical channel. Together, these three layers form a complete stack from institutional signal to on-device action, without persistent cloud state, continuous background execution, or privacy compromise. A working Flutter prototype is demonstrated on Android, combining all three layers with an ephemeral cloud agent invoked only on user-initiated escalation.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。