- Others: ChinaTextbook, Obsidian笔记系列, YouTube Channel ID, TikTok PM Django - Skills: GOG CLI, Last30Days, baoyu-skills - Vibe Coding: Cursor 2.0, Trae远程开发, Vibe-Kanban+OpenCode, vibe coding经验 - 微信公众号: 养虾日记1-5, AI时代赚钱 - 跨境电商: TikTok数据抓取, 选品策略, Superset Dashboard - AI目录补充: 20个文件 Source pages: 51 Entities: TapXWorld, VibeKanban, OpenCode, Trae, SourceGrounding等 Concepts: 自举Meta生成, 5大设计原则, MD5去重, 混合搜索等
38 lines
1.4 KiB
Markdown
38 lines
1.4 KiB
Markdown
---
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title: "养虾日记2 SelfImproving"
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type: source
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tags: []
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date: 2026-04-02
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---
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## Source File
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- [[raw/微信公众号/养虾日记2:让Agent更懂你:OpenClaw + Self-Improving 复盘实战案例分享.md]]
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## Summary
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- 核心主题:OpenClaw Agent自改进机制和双层记忆架构
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- 问题域:AI Agent记忆缺失、重复犯错、流程漏洞
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- 方法/机制:短期记忆(memory文件)+长期记忆(LanceDB)+self-improving复盘机制
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- 结论/价值:错误只犯一次,第二次就知道怎么做对——self-improving让agent在错误中持续进化
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## Key Claims
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- 双层记忆架构:每日文件管上下文,向量数据库管知识,self-improving管成长
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- self-improving固定格式记录:Summary/Details/Suggested Action/MetaData
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- Pattern-Key重复是系统性问题的信号,Recurrence-Count是重要指标
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- 23:00定时复盘流程:读取memory→记录learnings→检查重复→同步到向量库→Telegram摘要
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## Key Concepts
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- [[SelfImproving]]:结构化经验记录与复盘机制
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- [[双层记忆架构]]:短期+长期+自改进三层
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- [[PatternKey]]:问题模式识别与追踪
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- [[每日复盘]]:定时任务驱动持续改进
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## Key Entities
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- [[memory-lancedb-pro]]:基于LanceDB的向量记忆系统
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## Connections
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- [[OpenClaw]] ← enhanced_by ← [[SelfImproving]]
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- [[双层记忆架构]] ← composes ← [[SelfImproving]]
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## Contradictions
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- 无冲突
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