<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>记忆 on Plbear | 后端架构 · AI工程 · 云原生技术博客</title><link>https://www.plbear.com/tags/%E8%AE%B0%E5%BF%86/</link><description>Recent content in 记忆 on Plbear | 后端架构 · AI工程 · 云原生技术博客</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Tue, 28 Jan 2025 09:00:00 +0800</lastBuildDate><atom:link href="https://www.plbear.com/tags/%E8%AE%B0%E5%BF%86/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent 记忆体系：短期、长期与工作记忆</title><link>https://www.plbear.com/posts/2025-01-28-agent-memory-system/</link><pubDate>Tue, 28 Jan 2025 09:00:00 +0800</pubDate><guid>https://www.plbear.com/posts/2025-01-28-agent-memory-system/</guid><description>AI 面试官记不住候选人前面说过什么，是产品硬伤。短期记忆（上下文）、长期记忆（向量库）、工作记忆（状态）——Agent 记忆体系的设计与落地。</description></item></channel></rss>