--- title: "how ai agent memory works" source_url: https://memory.cobanov.dev/ ingested: 2026-05-08 sha256: PLACEHOLDER review_value: 8 review_confidence: 8 review_recommendation: strong review_stars: 4 source_feed: TLDR AI (newsletter) source_published: 2026-05-07 type: raw created: 2026-05-10 updated: 2026-05-10 tags: [] --- # How AI Agent Memory Works Mert Cobanov 的交互式深度文章,系统讲解 AI Agent 记忆系统。从 stateless LLM 到 stateful agent 的转变,涵盖记忆架构的所有核心概念。 ## 记忆类型 - **Working Memory**: 上下文窗口(FIFO dropping) - **Long-term Memory**: 向量嵌入 + 语义搜索 - **Episodic Memory**: 特定事件/交互记录 - **Semantic Memory**: 事实知识 - **Procedural Memory**: 如何做事的知识 ## 六种架构权衡 1. Buffer(简单滑动窗口) 2. Rolling Summary(压缩摘要) 3. Vector Store(语义检索) 4. Knowledge Graph(结构化关系) 5. Hierarchical / MemGPT(层级管理) 6. Self-editing / Letta(自主编辑) ## 生产部署考量 - Read/Write 路径分离 - 多租户隔离 - 延迟预算(HOT/WARM/COLD 存储层级) - Memory API 设计