AI Dev NYC 工作坊：用检索给智能体装上经历记忆
Most agents forget what went wrong last time. @DylanCouzon (@qdrant_engine) gives a simulated fly b...
Qdrant 的 Dylan Couzon 要在 AI Dev NYC 现场教你怎么给智能体做记忆系统，思路很妙——拿模拟果蝇大脑当实验对象，让它记住踩过的坑然后避开新的危险。做智能体的朋友可以去看看怎么用检索记忆提升 agent 表现。
DeepLearning.AI 宣布 Dylan Couzon（Qdrant）将在 AI Dev NYC（2026年11月30日至12月1日，纽约 Chelsea Piers）开设智能体记忆构建工作坊。
演示以模拟果蝇大脑为对象，为其加入负面经历记忆，测试其对新危险的回避能力。工作坊核心是基于检索的记忆方案，让智能体记住上次失败并避免重复错误。
对开发者的启示是：用向量检索把历史经验写进智能体工作流。
Most agents forget what went wrong last time. @DylanCouzon (@qdrant_engine) gives a simulated fly b...
Most agents forget what went wrong last time. @DylanCouzon ( @qdrant_engine ) gives a simulated fly brain a memory of bad experiences, then tests whether it avoids new hazards. A hands-on workshop on building agent memory with retrieval at AI Dev NYC. 📅November 30–December 1, 2026 · Chelsea Piers, New York 🎟Get your tickets ai-dev.deeplearning.ai/speakers/dylan… kL #AIDev e #DeepLearningAI A #AgentMemory ry
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include AgentMemory, Qdrant, retrieval, agents.
Source attribution: curated from DeepLearning.AI (@DeepLearningAI).
