linkloom 0.0.2

LinkLoom is a command-line bookmark manager that allows you to save and find your bookmarks using natural language queries. Instead of searching by tags or keywords, you can search by meaning.

LinkLoom is a command-line bookmark manager that allows you to save and find your bookmarks using natural language queries. Instead of searching by tags or keywords, you search by meaning.

Forget trying to remember the exact title of an article you saved three months ago. With LinkLoom, you can just ask:

lloom find "that article about black hole information paradox"

and get relevant results instantly.

How It Works

LinkLoom operates by understanding the semantic meaning of your bookmarks, not just their text.

• Storage: Bookmarks (URL, notes) are stored in a local SQLite database.
• Content Extraction: The main text content of the webpage is extracted using trafilatura.
• Semantic Embedding: The text and your note are converted into vector embeddings using a SentenceTransformer model.
• Vector Storage: Embeddings are stored in a local ChromaDB for efficient similarity search.
• Semantic Search: Your queries are also embedded, and LinkLoom returns the most semantically similar bookmarks.

Installation

LinkLoom can be installed in two ways:

• From PyPI (recommended for most users)
• From source (recommended for contributors)

Prerequisites

• Python 3.9+
• git (only for source installation)

1. Create and Activate a Virtual Environment

It is strongly recommended to use a virtual environment.

python3 -m venv .venv

Activate it:

• On Linux/macOS:

  source .venv/bin/activate
  

• On Windows:

  .venv\Scripts\activate
  

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2. Install from PyPI (Stable)

The easiest way is to install directly from PyPI:

pip install linkloom

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3. Install from Source (Development)

If you want to contribute or run the latest changes:

git clone https://github.com/neirzhei/LinkLoom.git
cd LinkLoom

Install uv (fast build tool):

pip install uv

Then install in editable mode:

uv pip install -e .

Usage

Make sure your virtual environment is active (source .venv/bin/activate) before using the CLI.

Adding a Bookmark

lloom add "https://neirzhei.github.io/article/art-in-weaponry.html" --note "might check out miyamoto musashi's book"

Output:

Saved: id=1

Finding a Bookmark

lloom find "miyamoto's view on art"

Output:

https://neirzhei.github.io/article/art-in-weaponry.html

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