Local LLM
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…
★ 60.1k starsCustom
View guide →Local-first widget tracking token usage and costs across 43+ AI coding tools.
token-monitor is an open-source local llm project by Javis603 (Javis603/token-monitor on GitHub). It has 2,591 GitHub stars and 261 forks, is released under the MIT license, and was last updated on GitHub on 4 October 2026.
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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Free and open — grab the source, star the repo, and start creating.