LLM locaux
litellm
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, an…
★ 60,1 k étoilesCustom
Voir le guide →token-monitor est un projet de LLM locaux open source, créé par Javis603 (Javis603/token-monitor sur GitHub). Il compte 2 591 étoiles sur GitHub et 261 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 4 octobre 2026.
Local-first widget tracking token usage and costs across 43+ AI coding tools.
Add it to your desktop.
Link the AI coding tools you use.
See tokens, costs, and limits in one place.
Keep the picture consistent across machines.
Covers Claude Code, Cursor, Codex, and many more.
See what AI assistance actually costs.
Know before you hit usage caps.
Your usage data stays on your machines.
Always-visible, glanceable monitoring.
One view across all your computers.
Download the source and move into the project folder.
git clone https://github.com/Javis603/token-monitor.git
cd token-monitorEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command43+ AI coding tools including Claude Code, Codex, Cursor, OpenCode, and OpenClaw.
MIT licensed — commercial use allowed.
It is local-first, so data stays on your devices.
Through integrations with each tool; check the docs for setup per tool.
Check the repo for supported platforms.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, an…
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.