📄 中文摘要
当前的人工智能系统面临着一个根本性的局限性，即它们存在于持续的遗忘状态中。每次对话都是从头开始，每个决策都没有积累的经验作为支持，发现的每一个洞察在上下文窗口关闭时都会消失。用户在使用手机助手时，第一次感受到助手忘记名字的尴尬，以及助手反复询问同样的问题，仿佛第一次见面，这种断裂感正是当前所有AI代理交互的真实写照。LocusGraph通过引入一种确定性的记忆系统，改变了这一现状，使得AI能够记住身份、意图和声音，从而提升用户体验。
LocusGraph：当智能体记忆时
出处: LocusGraph: When Agents Remember
发布: 2026年3月12日
📄 English Summary
LocusGraph: When Agents Remember
Current AI systems face a fundamental limitation: they exist in a state of perpetual amnesia. Every conversation starts anew, every decision is made without the benefit of accumulated experience, and every insight is lost when the context window closes. Users often experience disconnection when AI assistants forget their names or ask the same questions repeatedly, creating a sense of interacting with someone who doesn't know them. LocusGraph addresses this issue by introducing a deterministic memory system that enables AI agents to remember identity, intention, and voice, thereby enhancing user experience.