feat(wiki): ingest remaining subdirectories batch (51 files)

- 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

wiki/sources/养虾日记2-SelfImproving.md

@@ -0,0 +1,37 @@
+---
+title: "养虾日记2 SelfImproving"
+type: source
+tags: []
+date: 2026-04-02
+---
+
+## Source File
+- [[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]]
+
+## Summary
+- 核心主题：OpenClaw Agent自改进机制和双层记忆架构
+- 问题域：AI Agent记忆缺失、重复犯错、流程漏洞
+- 方法/机制：短期记忆(memory文件)+长期记忆(LanceDB)+self-improving复盘机制
+- 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
+
+## Key Claims
+- 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
+- self-improving固定格式记录：Summary/Details/Suggested Action/MetaData
+- Pattern-Key重复是系统性问题的信号，Recurrence-Count是重要指标
+- 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
+
+## Key Concepts
+- [[SelfImproving]]：结构化经验记录与复盘机制
+- [[双层记忆架构]]：短期+长期+自改进三层
+- [[PatternKey]]：问题模式识别与追踪
+- [[每日复盘]]：定时任务驱动持续改进
+
+## Key Entities
+- [[memory-lancedb-pro]]：基于LanceDB的向量记忆系统
+
+## Connections
+- [[OpenClaw]] ← enhanced_by ← [[SelfImproving]]
+- [[双层记忆架构]] ← composes ← [[SelfImproving]]
+
+## Contradictions
+- 无冲突