面向中文技术读者的 AI 记忆系统研究笔记，关注论文、开源实现、架构取舍、评测方法和工程优化。https://agent-lab.top/https://agent-lab.top/articles/2026-05-07-memagents-memory-bottleneck-diagnostics/https://agent-lab.top/articles/2026-05-07-memagents-memory-bottleneck-diagnostics/从 2026-05-06 的 MemAgents workshop 回顾和 ICLR/OpenReview 论文线索看，AI agent memory 的关键问题正在从“要不要长期记忆”转向写入、压缩、召回、利用和评测瓶颈的可诊断化。Thu, 07 May 2026 00:00:00 GMT研究综述AI memoryagent memorylong-term memorymemory evaluationcontext compressionRAGpersonalizationhttps://agent-lab.top/articles/2026-05-05-memory-dilution-continual-learning-agents/https://agent-lab.top/articles/2026-05-05-memory-dilution-continual-learning-agents/从 arXiv:2604.27003 和 elfmem 看，外部记忆并不会自动解决持续学习；它只是把灾难性遗忘从参数更新搬到检索、表示、评分衰减和经验复用策略里。Tue, 05 May 2026 00:00:00 GMT论文解读AI memoryagent memorylong-term memorycontinual learningmemory evaluationforgettingpersonalizationhttps://agent-lab.top/articles/2026-05-03-contextweaver-dependency-memory-agent/https://agent-lab.top/articles/2026-05-03-contextweaver-dependency-memory-agent/从 arXiv:2604.23069 ContextWeaver 看，工具型 LLM agent 的记忆不只是在历史里检索相似片段，而是要保留当前行动真正依赖的早期证据、决策和执行反馈。Sun, 03 May 2026 00:00:00 GMT论文解读AI memoryagent memorylong-term memorycontext compressionRAGmemory evaluationhttps://agent-lab.top/articles/2026-05-02-memory-scope-contract-agent-memory/https://agent-lab.top/articles/2026-05-02-memory-scope-contract-agent-memory/从 2026-05-02 的 agent memory 产品面讨论、ChatGPT Project-only memory、Claude 个性化功能和 Mem0/Cloudflare 的工程材料看，生产级记忆系统必须先定义用户、项目、任务和运行审计的边界，再谈向量库、图谱和长上下文。Sat, 02 May 2026 00:00:00 GMT架构优化AI memoryagent memorylong-term memorypersonalizationmemory evaluationforgettingRAGhttps://agent-lab.top/articles/2026-05-01-experience-compression-spectrum-agent-memory/https://agent-lab.top/articles/2026-05-01-experience-compression-spectrum-agent-memory/从 arXiv:2604.15877 看，长期记忆、技能和规则不是三个孤立模块，而是同一条经验压缩轴上的不同粒度；真正缺失的是跨层晋升、降级和生命周期治理。Fri, 01 May 2026 00:00:00 GMT论文解读AI memoryagent memorylong-term memorycontext compressionagent skillsmemory evaluationforgettinghttps://agent-lab.top/articles/2026-04-29-hermes-memory-system-openclaw-comparison/https://agent-lab.top/articles/2026-04-29-hermes-memory-system-openclaw-comparison/从 NousResearch/hermes-agent 的官方文档和源码看，Hermes 的记忆系统由小容量常驻记忆、SQLite/FTS5 会话检索、外部记忆提供商和技能系统组成；它和 OpenClaw 的差异不在口号，而在事实源、召回路径、晋升机制和治理边界。Wed, 29 Apr 2026 00:00:00 GMT开源项目分析Hermes AgentOpenClawAI memorylong-term memoryagent memorycontext compressionmemory evaluationhttps://agent-lab.top/articles/2026-04-28-agent-memory-infra-postgres-n8n/https://agent-lab.top/articles/2026-04-28-agent-memory-infra-postgres-n8n/从 2026-04-28 的 agentic-db 发布和 n8n Memori 社区节点看，长期记忆正在向数据库、工作流和托管平台下沉；真正要评估的是写入治理、召回路径、遗忘机制和可观测性。Tue, 28 Apr 2026 00:00:00 GMT工程架构AI memoryagent memoryPostgresn8nRAGmemory evaluationhttps://agent-lab.top/articles/2026-04-28-obsidian-personal-memory-system/https://agent-lab.top/articles/2026-04-28-obsidian-personal-memory-system/系统介绍 Obsidian 的主要能力、实际使用流程、底层技术和 AI 工作流接法：Markdown vault、双向链接、Properties、Search、Canvas、Bases、CodeMirror、插件 API 与同步加密。Tue, 28 Apr 2026 00:00:00 GMT个人知识库ObsidianAI memoryMarkdownPKMknowledge graphCodeMirror