把个人记忆当资产，让AI更懂人、持续进化。
Memory as Asset: From Agent-centric to Human-centric Memory Management
- 以人为主导管理记忆，确保个人数据主权。
- 构建协同记忆网络，打破信息孤岛。
- 支持记忆持续进化，助力通用智能发展。
我们提出「记忆即资产」新范式，推动面向人类中心的通用人工智能（AGI）。该范式强调：以个人为中心的记忆管理是弥补现有大语言模型（LLMs）集体知识、通过自我演化拓展知识边界的前提。我们定义三大核心特征：(1) 记忆在手——以人为本，最大化人类受益；(2) 记忆群组——促进协作知识形成，避免记忆孤岛；(3) 集体记忆演化——实现知识持续增长，推动知识边界向AGI延伸。最后，我们提出三层记忆基础设施：快速个人记忆存储层、智能演化层与去中心化记忆交换网络。三者共同构建一个基础架构，使个人记忆成为可积累、共享与演化的持久数字资产。该范式为可扩展、以人为本的AGI系统提供了可行路径，使其能通过个体与智能体的集体经验持续成长。
原文摘要 · Abstract (English)
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 intelligent evolution layer, and a decentralized memory exchange network. Together, these components outline a foundational architecture in which personal memories become persistent digital assets that can be accumulated, shared, and evolved over time. We believe this paradigm provides a promising path toward scalable, human-centric AGI systems that continuously grow through the collective experiences of individuals and intelligent agents.
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