SubTracker
A modern self-hostable subscription manager with flexible reminder rules
otari est un projet de installation facile open source, créé par mozilla-ai (mozilla-ai/otari sur GitHub). Il compte 504 étoiles sur GitHub et 59 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.
Open source, OpenAI-compatible LLM gateway you run yourself.
Clone mozilla-ai/otari and move into the project folder.
Install the Python requirements with pip — a virtual environment keeps things clean.
Follow the quick-start — setup is intentionally short.
Use it in a real workflow right away.
Built around artificial intelligence from the ground up.
Acts as a gateway across AI providers.
Integrates with Anthropic's Claude models.
Manages API keys centrally.
Budget controls for AI spend.
Tracks token usage and cost.
Download the source and move into the project folder.
git clone https://github.com/mozilla-ai/otari.git
cd otariSet up what the project needs to run.
pip install -r requirements.txtStart the app — the README has the exact command and flags.
python main.py # entrypoint varies — check the READMEApache-2.0 licensed — permissive, with a patent grant.
The app itself is free; cloud models need your own API key and are billed by the provider. Local models cost nothing to run.
It is designed to keep data on your machine or your server. Check the docs for any optional cloud features.
Clone the repo and pip-install the requirements — the README covers the exact steps.
The GitHub repo's issues and discussions are the main support channel.
A modern self-hostable subscription manager with flexible reminder rules
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Free cross-platform desktop app for local and cloud LLMs, every provider.
Open alternative to Claude Cowork — local-first agent desktop, multi-model.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.