Zilliz架构师将在东京AI大会演讲
Zilliz架构师分享AI代理记忆模式，教你如何用Milvus管理记忆，比普通教程更实战。
Zilliz解决方案架构师Yulan Yan将于10月14日在东京AI大会发表演讲，主题为"Agent Memory in Production"。她将探讨AI助手、企业代理、机器人和个人AI设备中的四种常见记忆模式，基于Milvus和Zilliz Cloud系统分析记忆管理策略。该活动还包括其他工程师关于任务记忆和持久上下文的分享。
🎤 Our Solutions Architect, Yulan Yan, will speak at Tokyo AI’s 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗮𝗴𝗲𝗻𝘁𝘀: 𝗺𝗲𝗺𝗼𝗿𝘆, 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝘁𝗲 𝗮𝗻𝗱 𝗿𝗲𝗰𝗼𝘃𝗲𝗿𝘆 in Tokyo on 14 October! Her talk, “Agent Memory in Production: Patterns from Real-World AI Applications,” will explore four recurring memory patterns across AI companions, enterprise agents, robotics, and personal AI devices. Drawing on systems using Milvus and Zilliz Cloud, she’ll examine what to remember, when to consolidate interactions, and how to prioritise recent and older memories as applications evolve. 📣 𝗕𝗿 luma.com/9sta84i8 �𝘁 𝗺𝗲𝗺𝗼𝗿𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀! 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝘁𝗼𝗱𝗮𝘆: https://t.co/PdK7uK0m0z Zilliz @zilliz_universe 🇯🇵 Join us in Tokyo on 14 October for a talk on agent memory! On 14 October, Zilliz’s Solutions Architect Yulan Yan will take part in 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗮𝗴𝗲𝗻𝘁𝘀: 𝗺𝗲𝗺𝗼𝗿𝘆, 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝘁𝗲 𝗮𝗻𝗱 𝗿𝗲𝗰𝗼𝘃𝗲𝗿𝘆, organised by Tokyo AI (TAI). Together, we’ll explore how agents retain useful context, keep track of their work, and continue after interruptions. 🎤 𝗠𝗲𝗲𝘁 𝘁𝗵𝗲 𝘀𝗽𝗲𝗮𝗸𝗲𝗿𝘀 → Yulan Yan, Solutions Architect at Zilliz, will share production memory patterns across AI companions, enterprise agents, robotics, and personal AI devices. Learn how teams use Milvus and Zilliz Cloud for memory storage and retrieval, and how they keep memories relevant and up to date. → Melanie Warrick, AI & DevRel Engineer at Temporal, will examine the difference between what an agent knows and what it has already done. Her live demo will illustrate why task memory alone isn’t enough to resume work reliably. → Koji Annoura, Co-founder of Neo4j Users Group Tokyo, will demonstrate how agents can share persistent context through Neo4j and MCP, preserving useful knowledge across models and sessions. Bring your questions for the Q&As and stay to exchange ideas with fellow engineers, architects, and technical leads. 📅 Wednesday, 14 October 2026 · 18:00–21:00 JST 🚀 We’d love to see you in Tokyo and exchange ideas on agen luma.com/9sta84i8 y! Register today to join the discussion: https://t.co/1XLimRm9c3 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 0 👀 41 ⚡