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Vector Memory Hack
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, <
安全通过
如何使用「Vector Memory Hack」？
- 打开小龙虾AI（Web 或 iOS App）
- 点击上方「立即使用」按钮，或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「Vector Memory Hack」技能完成任务
- 结果即时呈现，支持继续对话优化