OpenClaw的Vector Memory Hack-技能（skill）的描述

使用TF-IDF和SQLite对AI智能体内存文件进行快速语义搜索。支持从MEMORY.md或任何Markdown文档中即时检索上下文。当智能体需要（1）开始任务前查找相关上下文，（2）高效搜索大型内存文件，（3）无需阅读整个文件即可检索特定规则或决策，（4）启用语义相似性搜索而非关键词匹配时使用。作为重量级嵌入模型的轻量级替代方案——零外部依赖，搜索时间<10毫秒。

OpenClaw's Vector Memory Hack skill

Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <10ms search time.

Vector Memory Hack - skill原始代码包