token-monitor

Local-first desktop widget for tracking token usage, costs, limits, and session activity across 47+ AI coding tools—including Claude Code, Codex, Cursor, OpenCode, OpenClaw, and more—with multi-device sync.

⭐ 3,406 stars on GitHub · 🍴 326 forks · 📜 License: mit · 💻 Language: JavaScript

What is token-monitor?

An open-source AI/LLM project — run models locally, no cloud data sharing, fully customizable to your needs.

The biggest strength is fully local AI inference — zero API cost, no data leak risk, low latency.

Best for AI devs, researchers, anyone building agents/chatbots without OpenAI dependency.

Topics: the project is tagged with popular topics:

• 🏷️ ai
• 🏷️ ai-tools
• 🏷️ antigravity
• 🏷️ claude-code
• 🏷️ codex
• 🏷️ cursor
• 🏷️ deepseek
• 🏷️ deepseek-harness
• 🏷️ dsh
• 🏷️ hermes-agent

📸 Screenshots

Quick install

See the README for detailed install instructions. Most projects support Docker — if the repo has a Dockerfile, use:

git clone https://github.com/Javis603/token-monitor.git
cd token-monitor
docker build -t token-monitor .
docker run -d -p 8080:8080 token-monitor

Minimum system requirements

⚡ Deploy fast on VSIS

Use the VSIS VPS Standard 4GB RAM / 2 vCPU / 50GB SSD (~150k/tháng) plan from VSIS.NET — high-speed VN-based VPS, 24/7 support, ideal for running token-monitor smoothly.

🎯 Benefits:

• One-command docker compose up -d deploy in 2 minutes
• Dedicated IPv4, root access, unmetered domestic bandwidth
• Daily snapshot backup
• Free install assistance from the VSIS team

👉 See matching VPS plans at vsis.net

Resources

• 🔗 GitHub: Javis603/token-monitor
• 🌐 Homepage: http://javis-ai.com/token-monitor/
• 📚 Official docs: see README in the repo
• 💬 Community: GitHub Issues + Discussions

Article compiled from GitHub data on 27/10/2026. Star/fork counts may have changed — see live numbers via the GitHub link.