Memory as Asset: From Agent-centric to Human-centric Memory Management
Yanqi Pan, Qinghao Huang, Weihao Yang

TL;DR
This paper proposes Memory-as-Asset, a human-centric memory management paradigm for AGI that emphasizes personal ownership, collaborative knowledge formation, and continuous evolution through a layered infrastructure.
Contribution
It introduces a novel memory management framework that shifts from agent-centric to human-centric, enabling scalable, collective, and evolving knowledge systems for AGI.
Findings
Defines three key features: Memory in Hand, Memory Group, Collective Memory Evolution.
Proposes a three-layer memory infrastructure for human-centric AGI.
Highlights potential for continuous knowledge growth and collective intelligence.
Abstract
We proudly introduce Memory-as-Asset, a new memory paradigm towards human-centric artificial general intelligence (AGI). In this paper, we formally emphasize that human-centric, personal memory management is a prerequisite for complementing the collective knowledge of existing large language models (LLMs) and extending their knowledge boundaries through self-evolution. We introduce three key features that shape the Memory-as-Asset era: (1) Memory in Hand, which emphasizes human-centric ownership to maximize benefits to humans; (2) Memory Group, which provides collaborative knowledge formation to avoid memory islands, and (3) Collective Memory Evolution, which enables continuous knowledge growth to extend the boundary of knowledge towards AGI. We finally give a potential three-layer memory infrastructure to facilitate the Memory-as-Asset paradigm, with fast personal memory storage, an…
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Taxonomy
TopicsPersonal Information Management and User Behavior · Language and cultural evolution · Ferroelectric and Negative Capacitance Devices
