Quotio: A macOS menu bar app that routes Claude Code and other CLI agents across multiple AI accounts
Project brief: Stop juggling AI accounts. Quotio is a beautiful native macOS menu bar app that unifies your Claude, Gemini, OpenAI, Qwen, and Antigravity subscriptions, with real-time quota tracking and smart auto-failover for AI coding tools like Claude Code, OpenCode, and Droid.
At a glance
- What is it?
- Quotio is a native macOS menu bar app that runs a local proxy, tracks quotas across Claude, OpenAI, Qwen, and other providers, and auto-fails over between accounts for CLI coding tools. This review covers its architecture, setup, limitations, and who should adopt it.
- Who is it for?
- Adopt Quotio if you are a macOS 14+ user who runs Claude Code, Codex CLI, or similar agents daily and juggle multiple paid AI accounts with separate quotas. Skip it if you rely on a single provider, need Windows or Linux support, or want a proxy that can also serve IDEs like Cursor as providers.
- Can I use it commercially?
- Yes. MIT is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
- Is it still maintained?
- Yes. The repository received new commits within the last day.
- What is it written in?
- Mainly Swift, according to GitHub's language statistics.
Answers come from the project's GitHub data, last synced on September 15, 2026, and from our analysis. They are not legal advice.
DEEP OPEN-SOURCE ANALYSIS
The problem: quota juggling across AI coding subscriptions
Developers who use AI coding agents often hold several subscriptions: a Claude plan, an OpenAI Codex seat, a Qwen tier, maybe a GitHub Copilot subscription. Each provider enforces its own quota, and CLI tools like Claude Code or Codex CLI typically bind to one account at a time. When that account hits its limit, work stops until you manually switch credentials. Quotio attacks that friction directly. It is a native macOS menu bar application that runs a local proxy server, called CLIProxyAPI, and centralizes account management, quota tracking, and routing for those CLI agents. The target user is a macOS developer who runs multiple AI coding tools and wants one place to see remaining quota and to keep agents running when one account is exhausted.
How the proxy routing works
The core mechanism is a local proxy server that sits between your CLI agent and the AI providers. Quotio manages that proxy. You connect provider accounts through OAuth or API keys, and the app stores them. When an agent sends a request, the proxy forwards it to one of the connected accounts based on a routing strategy. The README lists two strategies: Round Robin and Fill First. Round Robin cycles through accounts in order, which spreads usage evenly. Fill First uses one account until it is close to its quota, then switches to the next. The proxy also tracks request traffic, token usage, and success rates, and shows them on a real-time dashboard. Quota data is fetched per account, and the app can alert you when a quota is low or an account enters a cooling period.
Getting it running: Homebrew, DMG, or Xcode
The README gives three installation paths. The recommended one is Homebrew: run `brew tap nguyenphutrong/tap` then `brew install --cask quotio`. You can also download the latest `.dmg` from the Releases page. The README states that official release artifacts are signed with a Developer ID and notarized by Apple, so Gatekeeper should not block them. Building from source requires Xcode: clone the repository, run `open Quotio.xcodeproj`, select the Quotio scheme, and press `Cmd + R`. On first launch the app automatically downloads the CLIProxyAPI binary. That download step is a dependency you should be aware of: if your network blocks it or the binary is not available, the proxy will not start until you resolve it.
Configuring agents and monitoring quota
Once the proxy is running, you connect accounts from the Providers tab. The supported providers are Anthropic Claude, OpenAI Codex, Qwen Code, Vertex AI (via Service Account JSON), iFlow, Antigravity, Kiro, and GitHub Copilot. Most use OAuth; Vertex AI is the exception and takes a service account JSON file. After accounts are connected, you configure agents in the Agents tab. The README lists five compatible CLI agents: Claude Code, Codex CLI, Amp CLI, OpenCode, and Factory Droid. Configuration can be automatic or manual. Automatic mode detects an installed agent and points it at the proxy. The Dashboard shows overall health and traffic, the Quota tab gives a per-account breakdown, and the Logs tab exposes raw request and response logs for debugging. There is also a standalone quota mode that shows quotas without starting the proxy, which is useful for quick checks.
Limitations: IDE monitoring only, macOS only, and a thin README
The README is clear about one boundary: Cursor and Trae are only monitored for quota usage, not usable as proxy providers. So if you expected Quotio to route traffic through a Cursor subscription, it will not. The app is also strictly macOS, with a minimum of macOS 14.0 (Sonoma). There is no Windows or Linux version mentioned. Another limitation is that the README does not describe failure behavior in detail. It mentions notifications for low quotas, cooling periods, and service issues, but it does not explain what happens when the proxy itself crashes, when OAuth tokens expire mid-session, or how concurrent requests from multiple agents are queued. Those details matter for a tool that sits in your request path. The documentation is otherwise feature-focused, and the absence of troubleshooting guidance means you may need to rely on the Discord community if something breaks.
Alternatives: direct agent config, LiteLLM, or a hand-rolled proxy
The most direct alternative is to skip the proxy and configure each CLI agent with its own credentials. That works but gives you no central quota view and no automatic failover. A more comparable alternative is LiteLLM, an open source proxy that also routes requests across multiple providers and supports fallbacks. The difference in approach is that LiteLLM is a general-purpose Python server that you configure with YAML and run yourself, whereas Quotio is a native macOS app with a GUI, OAuth flows, and menu bar integration. LiteLLM is cross-platform and can be embedded in a backend, but it does not manage subscriptions or present a native quota dashboard. Quotio's value is the packaged experience: account connection, quota tracking, and agent configuration in one app, at the cost of being tied to macOS and to Quotio's own proxy binary.
Maintenance, licensing, and upgrade considerations
The project is under the MIT license, which permits commercial use, modification, and redistribution with attribution. That is permissive and should not block adoption for most teams. The repository is actively maintained: the latest release, v0.30.0, was pushed on 2026-08-25, with earlier releases in the same month. The app includes a built-in Sparkle updater, which means updates are delivered automatically once installed. That reduces the manual upgrade burden, but it also means the proxy binary and the app are updated together, and you may not control when the behavior changes. The README does not specify a changelog or migration notes for the proxy, so before upgrading in a production workflow, check the release notes for breaking changes. The auto-download of CLIProxyAPI on first launch is a recurring dependency: every fresh install needs that binary, and any change to its distribution could affect new setups.
Who should adopt it and what to verify first
Quotio is a good fit for individual developers or small teams on macOS who run multiple AI coding agents and want to stop manually switching accounts when a quota runs out. It is less suited to organizations that need a cross-platform proxy, that require Cursor or Trae as providers, or that need detailed failure logs and retry semantics. Before adopting, verify that your specific CLI agent is in the compatible list, confirm your provider's auth method matches (especially Vertex AI's service account JSON), and test how the proxy behaves when one account is exhausted mid-request. Also confirm that the auto-downloaded CLIProxyAPI binary works in your environment, since that is a network dependency. If those checks pass, Quotio offers a concrete solution to a real daily annoyance: the menu bar shows quota at a glance, and the failover keeps your agents running when one subscription hits its cap.
Editorial conclusion
Adopt Quotio if you are a macOS 14+ user who runs Claude Code, Codex CLI, or similar agents daily and juggle multiple paid AI accounts with separate quotas. Skip it if you rely on a single provider, need Windows or Linux support, or want a proxy that can also serve IDEs like Cursor as providers. Before adopting, verify that your preferred providers appear in the supported list (Claude, OpenAI Codex, Qwen, Vertex AI, iFlow, Antigravity, Kiro, GitHub Copilot), confirm the auto-downloaded CLIProxyAPI binary works on your network, and test the failover behavior with your actual workload, since the README does not document failure handling for concurrent requests or proxy crashes.
Community notes