ai-signal 0.3.1

Terminal-based AI curator that turns information noise into meaningful signal

AI Signal

Terminal-based AI curator that turns information noise into meaningful signal.

Features

• 🤖 AI-powered content analysis and categorization
• 🔍 Smart filtering based on customizable categories and quality thresholds
• 📊 Advanced sorting by date, ranking, or combined criteria
• 🔄 Automatic content synchronization from multiple sources
• 🌐 Support for various content sources (YouTube, Medium, Reddit, Hacker News, RSS feeds)
• 📱 Share curated content directly to social media
• 📝 Export to Obsidian vault with customizable templates
• ⌨️ Fully keyboard-driven interface
• 🎨 Beautiful terminal UI powered by Textual

Installation

pip install ai-signal

or

pipx install ai-siganl

for global installation.

If using poetry:

poetry add ai-signal
poetry shell # enter the virtualenv

Quick Start

1. Create a configuration file:

aisignal init

modify it, as described in the configuration guide:

2. Run AI Signal:

aisignal run

Keyboard Shortcuts

For all views

• q: Quit application
• c: Toggle configuration panel
• s: Force sync content
• f: Toggle filters

Within the items list

• ↑/↓: Navigate items
• enter: Show item details
• o: Open in browser
• t: Share on Twitter
• l: Share on LinkedIn
• e: Export to Obsidian

Screenshots

Main Interface

Configuration interface

[TODO]

Resource detail interface

[TODO]

Project Status

This project is in its early development stages. I am not yet ready to provide a working prototype. As an open source initiative, I welcome contributors who can help advance the project. Please read the Contributing Guide

Development environment setup

# Clone the repository
git clone https://github.com/guglielmo/ai-signal.git
cd ai-signal

# Install dependencies
poetry install

# Run tests
poetry run pytest

# Run the application in development mode
poetry run aisignal version

or, entering the virtualenv:

poetry shell
aisignal version

Roadmap

• Add support for more content sources (YT videos, podcasts, pdf)
• Implement custom AI models
• Add content archiving
• Enable custom prompts for sources
• Enable custom filtering rules
• Add data export/import

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Built with Textual
• AI powered by OpenAI and Jina AI
• Inspired by Daniel Miessler's Fabric

Author

Guglielmo Celata

• GitHub: @guglielmo
• Mastodon: @[e-mail]