<?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>RocketMQ on MessageDaily</title><link>https://inkeast.github.io/MessageDaily/tags/rocketmq/</link><description>Recent content in RocketMQ on MessageDaily</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Thu, 24 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://inkeast.github.io/MessageDaily/tags/rocketmq/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent 越能干，越等不起：云栖2026「AI实时数据智能」论坛复盘——卡住生产级 Agent 的不是模型，是数据的实时性、语义与断点</title><link>https://inkeast.github.io/MessageDaily/posts/2026-09-24-yunqi2026-realtime-data-intelligence/</link><pubDate>Thu, 24 Sep 2026 00:00:00 +0000</pubDate><guid>https://inkeast.github.io/MessageDaily/posts/2026-09-24-yunqi2026-realtime-data-intelligence/</guid><description>2026 云栖「AI 实时数据智能」论坛复盘：六场演讲共答一个矛盾——Agent 任务从秒级问答变成长程执行后，卡住生产的不是模型，而是数据新鲜度、业务语义与任务断点。Kafka 流算湖一体收敛实时链路，SLS 沉淀轨迹资产，RocketMQ LiteTopic 支撑手脑分离，AgentBridge 以逻辑统一取代数据集中，震坤行与 Qoder 给出客户证词。</description></item></channel></rss>