Free macOS Menu Bar App Shows Real-Time Claude Usage Stats via SQLite Cookie Decryption

Claude Usage Tracker is a free macOS menu bar app that shows real-time Claude usage stats — including session percentage, weekly limit, monthly spend, and routine runs — without requiring an API key or manual token setup.
How It Works
The app reads Claude desktop app's encrypted SQLite cookie database, decrypts the session key via macOS Keychain, then hits Claude's internal usage API. Everything stays local — no data is sent anywhere.
Features
- Live session % in menu bar with color changes (green → yellow → red) as you approach limits.
- Dropdown shows: session reset countdown, weekly %, monthly spend vs budget, routine runs (x/5), and design limit %.
- Local web dashboard at
localhost:8080with charts and CSV export. - Auto-syncs every 2 minutes by reading Claude desktop app session.
- Notifications at 25%, 50%, 75% session usage.
Setup
Three commands:
git clone https://github.com/divaaker/claude-usage-tracker
cd claude-usage-tracker
pip3 install -r requirements.txt && cp override.example.json override.json && bash run.sh
Requirements
macOS only (uses Keychain + rumps menu bar framework). The source is open for forks and PRs — the author welcomes auto-launch on login or a notification center widget contributions.
📖 Read the full source: r/ClaudeAI
👀 See Also

Dev-Card: A Claude Code Skill That Generates Developer Identity Cards from Git History
Dev-Card is a Claude Code skill that analyzes git repositories to generate shareable Developer Identity Cards, assigning one of 11 developer archetypes based on commit timing, language breakdown, commit message patterns, and commit size distribution.

PgAdmin 4 9.13 Adds AI Assistant Panel to Query Tool
PgAdmin 4 version 9.13 introduces an AI Assistant panel in the Query Tool that can generate SQL from natural language when AI is configured. The update also includes a Workspace layout for distraction-free query editing and ad-hoc server connections.

SOPHIA Meta-Agent for AI Agent Maintenance
SOPHIA is a meta-agent designed as a Chief Learning Officer that observes, diagnoses, researches, and proposes improvements to other AI agents in production ecosystems. The system was designed through 7 iterations using 4 frontier models with human approval required for all deployments.

Building a Self-Improving Dream Cycle with Cron Jobs and Claude
A developer built an autonomous dream cycle using two cron jobs: one at 10:30 PM for research and reflection, and another at 11:00 PM for review and planning. The system scans arXiv, GitHub trending, and Reddit, identifies weaknesses, and proposes concrete improvements.