CodexBar Lite
A free macOS menu bar app that shows your OpenAI Codex usage at a glance.
What is CodexBar Lite?
CodexBar Lite is a lightweight, open-source macOS menu bar app built for developers who use OpenAI's Codex CLI and want to keep an eye on usage without switching windows. It reads the existing local Codex CLI session to display live usage percentage, time until the next reset, and remaining credits directly from the menu bar, with no browser cookies, Keychain access, or API keys required. The app refreshes automatically on a configurable interval, caches data so it keeps working offline, and can send threshold notifications at 80 percent, 90 percent, and full exhaustion so developers are not caught mid-task with a blocked session. It is distributed for Apple Silicon Macs and updates itself over the air via Sparkle, with the full source available on GitHub.
SpecificationsAI-estimated
Key Features of CodexBar Lite
Use Cases for CodexBar Lite
Avoiding mid-session cutoffs
Developers relying on Codex CLI for daily coding can watch remaining usage and pace their sessions before hitting a hard limit.
Team usage awareness
Individual contributors on a shared Codex plan can monitor their own consumption without checking a web dashboard.
Pros & Cons of CodexBar Lite
Pros
- Completely free with no paid tier or upsell
- Requires no API keys, cookies, or Keychain permissions
- Open source, so the code can be audited before installing
- Very lightweight, single-purpose menu bar app
Cons
- Only supports OpenAI Codex, not other AI coding tools
- Requires Apple Silicon and the Codex CLI already installed
- Not yet Apple-notarized, which can trigger extra install steps
Frequently Asked Questions
Does CodexBar Lite need my OpenAI API key?
No, it reuses your existing Codex CLI session and never asks for an API key or password.
Is CodexBar Lite different from the full CodexBar app?
Yes, CodexBar Lite is a minimal, free, single-provider version focused only on Codex, while the full CodexBar app tracks many AI coding providers.
What Macs does it support?
It requires an Apple Silicon (arm64) Mac running macOS 13 Ventura or later.
Pricing Overview
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