About Codexbar
CodexBar is a handy macOS (and Linux) menu bar application designed to simplify the management of AI coding assistant usage limits.It seamlessly tracks tokens and credits for tools like OpenAI’s Codex, Claude, Gemini, and many others, eliminating the need for constant logins.
Key features include real-time monitoring with reset countdowns, multi-provider support, cost tracking dashboards, and status indicators alerting you to potential issues.By leveraging existing provider sessions – through OAuth or browser cookies – CodexBar prioritizes privacy while providing developers with valuable insights into their AI coding assistant spending and usage patterns.
Key Features
Use Cases
Who is it for?
Key features include real-time monitoring with reset countdowns, multi-provider support, cost tracking dashboards, and status indicators alerting you to potential issues.By leveraging existing provider sessions – through OAuth or browser cookies – CodexBar prioritizes privacy while providing developers with valuable insights into their AI coding assistant spending and usage patterns.
Key Features
- Real-time Monitoring of Token/Credit Balances
- Reset Countdown Displays for Each Provider
- Multi-Provider Support (OpenAI, Claude, Gemini, etc.)
- Cost Tracking Dashboards and Spend Scans
- Status Indicators with Incident Badges
- Merge Icons Mode for Consolidated View
- Automated Cost Tracking for API-Backed Providers
- Usage Pattern Insights
- Leverages Existing Provider Sessions (OAuth, Cookies)
- No Password Storage
- CLI Integration for Scripting and CI/CD
- macOS 14+ and Linux Compatibility
- Homebrew Installation Option
- Customizable Configuration Options
- WidgetKit Widgets for Desktop Integration
Use Cases
- Monitoring Token Consumption for Multiple AI Coding Tools Simultaneously
- Tracking Spending on API Calls to AI Assistants (e.g., OpenAI, Claude)
- Managing Usage Limits and Reset Times for Various AI Coding Services
Who is it for?
- Developers
- Devops engineers
- Engineering managers
- Finance/billing teams
- Site reliability engineers
Based on 6 verified user reviews — Average rating: 4.17/5
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