Codexbar
Free

What is Codexbar?

Codexbar is a tiny macOS menu bar app that tracks AI coding-provider usage windows, credits, costs, and resets across 63 providers including Codex, OpenAI, Claude, Cursor, Gemini, Copilot, LiteLLM, and more. It sits discreetly in your menu bar, offering real-time insights into your AI tool consumption without interrupting your workflow.

**Features:**
- **Provider Status Items:** Popular providers become status items with their own usage windows, reset countdowns, charts, and provider menus.
- **Per-Provider Windows:** Session, weekly, and monthly usage windows with countdowns to the next reset, so you never guess whether to start a long task.
- **Credit Balances & Spend:** View credit balances and monthly spend where providers expose them, plus configurable local cost scans for Codex and Claude.
- **Incident Badges:** Provider status polling surfaces incident badges in the menu and an indicator overlay on the bar icon.
- **Terminal Integration:** A bundled {codexbar} binary provides the same usage output for scripts, CI, and quick terminal checks.

**Benefits:**
- Eliminate guesswork: Know exactly how many tokens or credits you have left and when they reset.
- Stay within limits: Avoid hitting rate limits or spending over budget by monitoring usage in real time.
- Multi-provider support: Track all your AI subscriptions from one place, including OAuth, cookies, API keys, and local providers.

**Use Cases:**
- Developers using multiple AI coding assistants who need to manage quotas and costs.
- Teams monitoring shared accounts to ensure fair usage and avoid surprises.
- Power users running long AI-assisted sessions who need to know when to pause or switch providers.

**Technical Details:**
- Free and open source, requires macOS 14+.
- Supports authentication methods: OAuth, cookies, bearer tokens, API keys, device flow, and local binaries.
- Providers include Codex, OpenAI, Claude, Cursor, Gemini, Copilot, LiteLLM, Perplexity, DeepSeek, and many more.
- Configurable local cost scans estimate spend from local logs.
- Standalone tarballs available for ma.

Who is it for?

AI developers, software engineers, freelancers, IT managers, DevOps teams, AI power users

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