Vector Memory Hack is an OpenClaw 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. It belongs to the Other collection. For background, see Hybrid Search - Mixed Search Strategy in our wiki.
Vector Memory Hack 任务、文档、文件工具，支持搜索、读取，轻量级。
Vector Memory Hack has 2.1K downloads from the OpenClaw community.
persistent memory
search capabilities
Search and discovery
One-command install via OpenClaw
Installing Vector Memory Hack in OpenClaw takes just one command. Make sure you have OpenClaw set up and running before proceeding.
Run the following command in your terminal to add Vector Memory Hack to your OpenClaw instance:
openclaw skill install vector-memory-hackConfirm the skill is properly installed and ready to use:
openclaw skill listThe skill is now available in your OpenClaw conversations. Simply describe what you want to accomplish, and OpenClaw will automatically invoke Vector Memory Hack when relevant.
What people do with Vector Memory Hack:
| Author | mig6671 |
| Category | Other |
| Version | 1.0.3 |
| Updated | 2026-02-28 |
| Downloads | 2,140 |
| Score | 1,502 |
| Homepage | https://clawhub.ai/mig6671/vector-memory-hack |
Vector Memory.The region in PXIe-6570 memory that stores compiled patterns, including pin states and opcodes. Vector memory is split into the following regions based on access speed. Fast Vector Memor With Vector Memory Hack on OpenClaw, you can handle this directly from your AI assistant.
Unlike traditional AI models that process each task independently, AI agents with memory can retain context, recognize patterns over time and adapt based on past interactions. This capability is essen With Vector Memory Hack on OpenClaw, you can handle this directly from your AI assistant.
The Vectorization of Data in AI In machine learning models, vectors are used to represent both the input data (features) and the output data (labels or predictions). Each data point is represented as With Vector Memory Hack on OpenClaw, you can handle this directly from your AI assistant.
Run "openclaw skill install vector-memory-hack" in your terminal. OpenClaw must be set up first. After install, the skill is available in your conversations automatically.
Yes. Vector Memory Hack is free and open-source. Install it from the OpenClaw skill directory at no cost. Maintained by mig6671.
Learn more from these authoritative sources:
Add Vector Memory Hack to your OpenClaw setup. One command. Done.
Install SkillDiscover other popular skills in the Other category.