LLM local
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 mil estrelasCustom
Ver o guia →token-monitor é um projeto de LLM local de código aberto de Javis603 (Javis603/token-monitor no GitHub). Tem 2.591 estrelas no GitHub e 261 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 4 de outubro de 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.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.