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Vector Memory Hack
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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.
🔧 安装方式
复制提示词，发送给任意 AI 助手即可安装 Skill，包括但不限于 Lighthouse OpenClaw、WorkBuddy、QClaw、Kimi、Claude 等
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub.cn/install/skillhub.md 安装 Skillhub 商店，然后安装 Vector Memory Hack 技能。
若已安装，则直接安装 Vector Memory Hack 技能。
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.