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CC Switch vs CodexBar

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

CC Switch

Open source · MIT

Desktop app to switch API providers and manage MCP, Skills, and prompts for AI coding agents.

CodexBar

Open source · MIT

A menu bar app (plus CLI) that shows your AI coding tool usage limits and reset times.

The short answer

Choose CC Switch if you need…

  • Developers who use several AI coding agents and switch between API providers often
  • People who find editing agent config files by hand error-prone
  • Users who want MCP servers, Skills, and prompts managed from one interface
  • Windows, macOS, or Linux users who prefer a graphical app

Choose CodexBar if you need…

  • Developers who use several AI coding tools and want to see remaining limits at a glance
  • People on usage-capped subscription plans who want to plan long tasks around reset times
  • Mac users who prefer a menu bar indicator over a web dashboard
  • Linux users who want the CLI or the Qt desktop app

Side-by-side

CC SwitchCodexBar
TypeAppApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars151k22.9k
Setup difficultyBeginnerBeginner
How you get itDownload the appInstall with a package manager
Main languageRustSwift
Last code update4 days ago6 days ago

What each one is

CC Switch

CC Switch is a desktop app that lets you change which API provider your AI coding tools use with one click, instead of hand-editing JSON, TOML, or YAML config files. It also gives one place to manage MCP servers, Skills, and prompts across tools such as Claude Code, Codex, Gemini CLI, and OpenCode. The README describes it as built with Tauri 2 and available for Windows, macOS, and Linux.

CodexBar

CodexBar is a small menu bar app for macOS that shows how much of your AI coding provider limits you have used and when each limit resets. It supports a long list of providers, including OpenAI Codex and Claude Code as named in its description. It reuses existing provider sessions such as OAuth, API keys, browser cookies, or local CLI files, and the README says it does not store passwords. A Linux desktop app and a CLI are also available.

Best for

CC Switch

  • Developers who use several AI coding agents and switch between API providers often
  • People who find editing agent config files by hand error-prone
  • Users who want MCP servers, Skills, and prompts managed from one interface
  • Windows, macOS, or Linux users who prefer a graphical app

CodexBar

  • Developers who use several AI coding tools and want to see remaining limits at a glance
  • People on usage-capped subscription plans who want to plan long tasks around reset times
  • Mac users who prefer a menu bar indicator over a web dashboard
  • Linux users who want the CLI or the Qt desktop app

Strengths

CC Switch

  • Replaces manual editing of JSON, TOML, and YAML config files for supported tools
  • Covers many agent tools (the README lists more than a dozen) in one app
  • MIT licensed and available as downloads for Windows, macOS, and Linux

CodexBar

  • Shows usage limits and reset times in one place across many providers
  • Reuses existing sessions and states that no passwords are stored
  • Available as a macOS menu bar app, a Linux desktop app, and a CLI

Not ideal for

CC Switch

  • People who prefer to edit config files directly and want no extra layer (the app manages those files for you)
  • Users who need a guarantee about any specific third-party API provider; the README lists sponsor relay services, which the maintainers do not vouch for in this text

CodexBar

  • Users on platforms other than macOS or Linux, since the README lists no Windows support
  • People who do not want any app reading provider session cookies or local files, since the README says it reuses browser cookies and local files for many providers
  • Users of providers outside the README's list, since it covers only the providers it names

Trade-offs

CC Switch

  • The README is long and mixes product documentation with many sponsor promotions, so the core setup details are harder to find
  • Supports a broad, changing list of tools, so support for a specific tool version should be checked in the docs
  • Some sponsor links and promo codes appear in the README; treat them as the maintainers' commercial placements, not endorsements from this guide

CodexBar

  • Each provider needs its own setup (CLI login, cookies, or API key), and some depend on browser sessions that may change
  • The README describes some providers as experimental or partial, such as Antigravity
  • Linux desktop needs glibc 2.39+, Qt 6.4+, and a separate CLI install

Getting started

CC Switch

Clone the repository

git clone https://github.com/farion1231/cc-switch
Step-by-step guide: how to use CC Switch

CodexBar

Install the macOS app with Homebrew

brew install --cask codexbar

Install the CLI on Linux with Homebrew

brew install steipete/tap/codexbar
Step-by-step guide: how to use CodexBar

Frequently asked questions

What is the difference between CC Switch and CodexBar?

CC Switch: Desktop app to switch API providers and manage MCP, Skills, and prompts for AI coding agents. CodexBar: A menu bar app (plus CLI) that shows your AI coding tool usage limits and reset times. CC Switch suits developers who use several ai coding agents and switch between api providers often, while CodexBar suits developers who use several ai coding tools and want to see remaining limits at a glance.

Are CC Switch and CodexBar free?

CC Switch: Free and open source. CodexBar: Free and open source.

Is CC Switch or CodexBar more popular?

CC Switch has more GitHub stars (151k) than CodexBar (22.9k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to CC Switch and CodexBar?

Other options people compare them with include Orca, ego lite, Claudian, Paperclip, MindsHub.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.