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Token‑Monitor: Instantly Track AI Token Spend & Limits Across Devices

Stay on budget and avoid interruptions by monitoring token usage, costs, and AI limits in real‑time. Ideal for founders using Claude, Codex, Cursor, and other LLM tools. 3.0k+ GitHub stars.

From the repo · “Local-first desktop widget for tracking token usage, costs, and limits across 32+ AI coding tools—including Claude Code, Codex, Cursor, OpenCode, and OpenClaw—with multi-device sync.”

3,264 stars+166★ this week309 forksJavaScriptGuide quality 9/10 · reviewed Oct 14Updated 10/22/2026100% free · open source
What it does

Token-Monitor provides real-time insights into token and cost usage for AI tools like Claude Code and Codex, with multi-device sync capabilities.

When to use it
  • •When you need to track and manage AI token usage across multiple devices and team members
  • •When you want to monitor and limit AI costs in real-time to avoid unexpected expenses
  • •When you are using multiple AI tools and need a unified dashboard to monitor token and cost usage
Ready-to-paste prompt
Open `config.json` and add your Claude Code API key: `{ "claudeCode": { "apiKey": "YOUR_API_KEY_HERE" } }`
Heads up: Make sure you have Node.js (version 16 or higher) installed on your system, as Token-Monitor requires it to run
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/token-monitor && curl -fsSL https://workflowstacks.com/api/skills/token-monitor/claude-skill -o ~/.claude/skills/token-monitor/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Token‑Monitor: Instantly Track AI Token Spend & Limits Across Devices works
Codeflow
Free to inspect

Token‑Monitor: Instantly Track AI Token Spend & Limits Across Devices is a very large JavaScript project (~139k lines across 463 code files, plus 479 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~139k lines · 463 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js
Needs API keys (.env)
JavaScript 94%CSS 3%HTML 2%Swift 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    .env.example
    The API keys and settings you must provide
  5. 5
    src/electron/main.js
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic441 files
site/Frontend / UI79 files
worker/Backend / API28 files
docs/Documentation46 files
scripts/Helper scripts27 files
native/Folder17 files
tests/Tests — proof it works485 files
.github/CI / automation (GitHub Actions)77 files
READMEHas testsDocumentedCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
Javis603
Language
JavaScript
Category
analytics
Published
5/19/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/token-monitor.svg)](https://workflowstacks.com/skills/token-monitor?utm_source=github&utm_medium=badge)
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