Windows System Tray Monitor for Claude Code Quota

A developer has built a Windows system tray application to monitor Claude Code usage quotas in real-time. The tool addresses the frustration of manually checking usage limits during coding sessions.
Core Features
The application provides several key monitoring capabilities:
- Tray icon with color coding: Green (0-50% usage) → Orange → Red → Dark red → Grey at 100%
- Right-click context menu: Shows session percentage (5h), weekly percentage (7d), and time to reset
- Automatic refresh: Updates every 5 minutes using the official Anthropic OAuth API
- Fallback mechanism: Uses cached data if rate-limited by the API
- Desktop notifications: Alerts at 85% and 90% usage thresholds
Dashboard Components
The browser-based dashboard includes four tabs with detailed analytics:
- Today: Hourly bar chart, token comparison vs yesterday, active sessions
- This Week: Daily bar chart, peak day identification, daily average
- This Month: Same structure for current month analysis
- All Time: Quota trend chart with 80%/95% thresholds, top sessions, full statistics
Technical Details
The application has specific technical requirements and implementation details:
- Data source: Token data comes from local
~/.claude/projects/*.jsonlfiles - Privacy: Only quota percentage calls go to Anthropic API; all other data stays local
- Requirements: Windows 10/11, PowerShell 5.1 (pre-installed), Claude Code logged in
- No dependencies: No Node.js or additional installations required
Setup Process
Installation is straightforward:
- Download ZIP from GitHub: https://github.com/edi19863/claude-usage-tray
- Double-click
start.vbsto launch - Run
setup-autostart.batfor automatic launch at login
The developer accepts support via Ko-fi: https://ko-fi.com/edi1986
📖 Read the full source: r/ClaudeAI
👀 See Also

Browser Harness: Giving LLMs raw CDP access to self-correct browser tasks
Browser Harness strips away browser frameworks, giving LLMs direct CDP websocket access and letting them write missing tools mid-task. Demonstrated by self-inventing an upload_file() function.

Holisto Seed: A Local LLM Framework with Persistent Identity and Consensual Memory Consolidation
Holisto Seed is a Relational Individuation Framework that gives LLM agents persistent identity, biographical memory, and co-evolutionary relationships with users. It runs fully local with a Git-based versioning system and features a consensual sleep cycle for memory consolidation.

Reddit User Tests Hermes AI Agent's Self-Learning Feature, Finds Critical Flaws
A Reddit user tested Hermes AI agent's self-learning feature, which automatically creates skills from markdown files. The user found it always evaluates its own results as successful, even when output is incorrect, and overwrites manual edits.

Claude Code Adds Multi-Agent Code Review System
Anthropic has launched Code Review for Claude Code, a multi-agent system that dispatches teams of AI agents to review pull requests. The system catches bugs human reviewers often miss, with 54% of PRs now getting substantive review comments compared to 16% before.