[2603.05069] Jagarin: A Three-Layer Architecture for Hibernating Personal Duty Agents on Mobile

[2603.05069] Jagarin: A Three-Layer Architecture for Hibernating Personal Duty Agents on Mobile

arXiv - AI 4 min read

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Abstract page for arXiv paper 2603.05069: Jagarin: A Three-Layer Architecture for Hibernating Personal Duty Agents on Mobile

Computer Science > Artificial Intelligence arXiv:2603.05069 (cs) [Submitted on 5 Mar 2026] Title:Jagarin: A Three-Layer Architecture for Hibernating Personal Duty Agents on Mobile Authors:Ravi Kiran Kadaboina View a PDF of the paper titled Jagarin: A Three-Layer Architecture for Hibernating Personal Duty Agents on Mobile, by Ravi Kiran Kadaboina View PDF HTML (experimental) Abstract: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 Exchang...

Originally published on March 06, 2026. Curated by AI News.

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