📄 中文摘要
记忆并不等于连续性，连续性是一个工程问题，具有明确的结构。作者Arthur Liao是一名医疗美容医生，同时也构建AI自动化系统。他的AI代理Nancy基于OpenClaw框架，能够处理研究、任务执行、Telegram通知和日常报告，跨会话、跨工具和跨天工作。最初，作者认为给Nancy一个记忆文件就足够了，但在实际运行中发现这并不能解决连续性的问题。文章深入探讨了AI代理市场中鲜有人提及的这一问题，强调了构建高效AI代理所需的系统性思维。
连续性不是一种感觉——每个 AI 代理所需的三层架构
📄 English Summary
Continuity Isn't a Feeling — It's a System: The 3-Layer Architecture Every AI Agent Needs
Memory does not equate to continuity; rather, continuity is an engineering challenge with a defined structure. Arthur Liao, a medical aesthetics doctor and AI automation system builder, introduces his AI agent Nancy, which operates on the OpenClaw framework. Nancy manages research, task execution, Telegram notifications, and daily reporting, functioning across sessions, tools, and days. Initially, Liao believed that providing Nancy with a memory file would suffice, but he discovered that this approach did not address the issue of continuity in practice. The article delves into this often-overlooked problem in the AI agent market, emphasizing the need for a systematic approach in building effective AI agents.