🚀 VectorMark

VectorMark — Smart bookmark manager that automatically categorizes and organizes your saved websites using semantic search.

A local-first Chrome extension that transforms your bookmarks into a searchable, intelligent knowledge base.

✨ Features

• 🧠 Fast Semantic Search (HNSW) Find bookmarks by meaning using efficient local vector search powered by VecLite.

• 🔒 100% Local & Privacy-First No cloud, no tracking — everything stays in your browser.

---

📥 Download

You can download VectorMark from the Chrome Web Store, Firefox Add-ons, or directly from GitHub Releases.

---

🔌 Roadmap

• Rich bookmark data support (metadata, content)
• Automatic categorization using vector similarity

---

🛠️ Tech Stack

• Platform: Chrome Extension
• Vector DB: VecLite (IndexedDB + HNSW)
• Storage Layer: IndexedDB (Dexie.js)
• Embeddings: Local model (all-MiniLM-L6-v2)

---

🚀 Getting Started

Installation

git clone https://github.com/yourusername/vectormark.git
cd vectormark
npm install

Build

npm run build

Load Extension

1. Open Chrome
2. Go to chrome://extensions/
3. Enable Developer Mode
4. Click Load unpacked
5. Select the project' dist folder

---

🤝 Contributing & Support

Pull requests are welcome.
For major changes, please open an issue first to discuss what you would like to change.

If you like this project, consider giving it a star ⭐

📄 License: MIT License