xiufengsun / TokenTracker

A privacy-first, gamified token usage dashboard that unifies tracking across 43 AI coding tools with a living desktop pet.

活跃维护 MIT JavaScript Tracked
2.1k 223 15 小时前
CINPM
claude-code cli codex-cli cost-tracker cursor gemini-cli local-first privacy-first token-tracker antigravity ai-tools dashboard developer-tools observability ai-coding-tools desktop-pet desktop-widget macos-app usage-tracker windows-app
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AI 分析

项目摘要

TokenTracker is a local-first, privacy-focused token usage and cost dashboard that monitors 43 AI coding tools including Claude Code, Cursor, Gemini, and DeepSeek. It features a gamified desktop pet, native macOS/Windows widgets, and 15 achievement tracks — all without reading prompts or requiring cloud accounts.

为什么值得关注

It uniquely combines practical developer observability with gamification (desktop pet, achievements) across an unusually broad range of 43 AI coding tools, all while maintaining a strict local-first, privacy-first architecture that never reads prompts.

优势

  • Supports 43 AI coding tools with unified tracking
  • Strict local-first privacy model that never reads prompts
  • Polished native apps for macOS and Windows with widgets
  • Gamified engagement via desktop pet and achievement system
  • Active development with 100 releases and 86 contributors

局限性

  • No Docker support for containerized deployments
  • No official examples directory for onboarding
  • Desktop pet/gamification may feel gimmicky to some professional users

使用场景

  • Tracking personal AI coding tool spending across multiple platforms
  • Monitoring team AI token usage without compromising prompt privacy
  • Gamifying and visualizing daily AI coding activity via desktop widgets
目标用户： Developers and engineering teams who use multiple AI coding assistants and want unified, private usage analytics
学习曲线： 低
分析模型：LongCat-2.0 | 分析时间：25 天前