OpenAI reveals Codex app for Mac – ‘a different kind of tool’ it says is a much easier way to deploy AI agents on Apple devices


- Codex is an “agent command center” for managing multiple development agents centrally
- It is available for all account types and most paid subscribers will benefit from a double limit.
- Windows app and other performance upgrades coming
OpenAI has launched a dedicated macOS client for Codex, giving businesses a centralized dashboard to manage coding agents locally.
Described as a “command center for agents,” OpenAI sees the Codex more as a place to manage and coordinate teams of agents throughout the software lifecycle, including design, construction, shipping, and maintenance – an evolution from previous single-agent coding efforts.
Designed primarily for Plus, Pro, Business, Enterprise and Edu plans which will benefit from double the rate limits for a limited time, Codex is also temporarily offered for free to Free and Go subscribers, so it’s time to try it.
The Codex for Mac is here, and for all users
“The primary challenge has shifted from what agents can do to how people can direct, supervise, and collaborate with them at scale,” the company said, criticizing current IDEs and terminal-based tools for their inability to handle this new type of work.
Being an OpenAI tool, there are naturally plenty of integrations at your fingertips. Developers can deploy apps to cloud hosts like Cloudflare, Netlify, Render, and Vercel, generate images with GPT Image, and retrieve designs from Figma.
Users can also schedule repetitive background tasks like bug triage with built-in automations for even greater efficiency.
As for the Codex, OpenAI says its usage has more than doubled since the GPT-5.2 Codex update was introduced in mid-December 2025, with over a million developers using the tool in the last month, from startups to independent developers to large enterprises.
Looking ahead, the company promises to work on a similar Windows application, as well as other improvements to model capabilities and inference speeds.
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