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Codex Everywhere

EverywhereVerified

Use all apps on your Mac via background computer use—Codex sees, clicks, and types through its own cursor, running multiple parallel agents without blocking your active work Prototype websites and apps with an in-app browser that supports inline comments on live previews, tightening the design-feedback loop inside a single workspace Extend Codex with 90+ new plugins spanning skills, app integrations, and MCP servers, plus GitHub PR review, multi-terminal tabs, SSH to remote devboxes, image generation, and memory preview

Reviewed by ToolWorthy Editors·updated 2 months ago

Pricing:Free + from $20/mo
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Pros & Cons

Editor-reviewed

Pros

  • Background computer use turns Codex into a real desktop agent rather than a sandboxed one, unlocking use cases the February release could only approximate.
  • In-app browser + image generation collapse the frontend ideate-to-review loop into a single surface.
  • 90+ plugin expansion (including Atlassian, GitLab, CircleCI, CodeRabbit) shifts Codex from a coding tool toward a team workflow hub.
  • No pricing change for existing subscribers — Plus-tier users get meaningful new capabilities at the same $20/month.
  • Developer-workflow upgrades (PR review, terminal tabs, SSH devboxes) directly target engineering-team adoption.

Cons

  • Feature rollout is uneven: EU, UK, Enterprise, and Education users face staggered availability on computer use and memory.
  • Background computer use is macOS-first; Windows users do not get parity on day one.
  • SSH devboxes remain in alpha and aren't yet suitable for production workflows.
  • Memory and continuity features broaden the surface area for data-retention concerns — worth reviewing before Enterprise rollout.
  • No model-level benchmark improvements; teams chasing higher SWE-Bench or Terminal-Bench scores will not see gains from this release.

Overview

On April 16, 2026, OpenAI shipped a major update to Codex internally referred to as "Codex for (almost) everything." Unlike the February 5 GPT-5.3-Codex release, which was a model upgrade, this update is primarily an app-surface expansion around Codex rather than a benchmark-focused model launch, adding new capabilities across the work surface, integrations, and continuity.

The update positions Codex less as an isolated coding assistant and more as a workflow control surface for the 3M+ developers who already use it weekly. New capabilities include background computer use on macOS, an in-app browser with inline page comments, native image generation via gpt-image-1.5, 90+ plugins combining skills and MCP servers, GitHub PR review built into the app, multi-terminal tabs, SSH access to remote devboxes (alpha), and a memory preview system. Availability is uneven — several features roll out macOS-first, with EU/UK, Enterprise, and Education tenants receiving them on a staggered schedule.

What's New

Background Computer Use on macOS

Codex can now operate other applications on your Mac by seeing the screen, moving its own cursor, and typing — while you keep working in parallel. Multiple agents can run simultaneously without hijacking your active window or input focus. This expands Codex from a coding-focused assistant into a broader desktop workflow tool, bringing AI agent computer-use capabilities into the live macOS app.

In-App Browser With Inline Comments

Codex now includes an early in-app browser for local or public pages that do not require sign-in, letting you comment directly on rendered pages while iterating on frontend designs, apps, and games. You can comment directly on rendered pages to give Codex precise feedback, which shortens the ideate → render → review → iterate loop inside one workspace.

Image Generation via gpt-image-1.5

Codex integrates gpt-image-1.5 for in-app image generation and editing. Use cases OpenAI highlighted include UI mocks, placeholder asset creation, and visual checks during frontend iteration. OpenAI positions the feature for UI mocks, placeholder assets, and visual iteration inside the same workflow.

90+ New Plugins

Codex gains 90+ new plugins that bundle skills, app integrations, and MCP servers together. Named launch partners include Atlassian Rovo, CircleCI, CodeRabbit, GitLab Issues, Microsoft Suite, and Render. Each plugin combines skills, app integrations, and MCP server configuration so Codex can gather context and take actions across connected tools.

Developer Workflow Upgrades

Several engineering-team features landed in the same release:

  • GitHub pull request review inside the Codex app, including sidebar inspection, diff review, and support for addressing review comments
  • Multiple terminal tabs for parallel command sessions within one agent
  • SSH access to remote devboxes (alpha) for running Codex against long-lived cloud environments
  • Richer file previews and a new summary pane for faster context scanning

Memory Preview & Continuity

A memory preview surface now stores user preferences, prior edits, and context gathered during past tasks. Codex can resume threads and schedule future work, making it practical to hand off multi-hour or cross-session workflows — issue triage, CI failure summaries, release briefs, and recurring bug checks are called out as first-party automations.

Availability & Access

Rollout is uneven and worth checking before relying on a specific feature:

  • Background computer use launches on macOS first; EU and UK availability is scheduled but delayed.
  • Memory and context-aware suggestions roll out gradually for Enterprise, Education, EU, and UK tenants.
  • Remote devboxes via SSH remain in alpha.
  • Windows support for the desktop app exists (added March 4, 2026) but the April expansion leans heavily on macOS-specific computer-use APIs.

OpenAI frames this release as a Codex app update rather than a new Codex model launch.

Pricing & Plans

OpenAI has not announced pricing changes tied to this release. Codex access continues to follow the existing tiers:

  • ChatGPT Plus ($20/month): Access to Codex with standard rate limits
  • ChatGPT Pro (from $100/month): Pro currently has $100 and $200 tiers, both with higher Codex usage than Plus.
  • Business / Enterprise / Edu: Business includes self-serve standard seats and optional usage-based Codex seats; Enterprise and Edu are admin-managed offerings with staged rollout for some personalization features.
  • API: Codex capabilities available via OpenAI's developer API with usage-based billing

Usage and billing vary by plan and, for some workspaces, by credits or flexible pricing; check the current Codex pricing and plan documentation for the latest limits.

Best For

  • Engineering teams already running Codex on macOS who want to replace ad-hoc automation scripts with in-app workflows.
  • Frontend developers iterating on web UI who can benefit from the browser + image-gen loop.
  • DevOps and platform teams adopting plugins for CircleCI, Render, GitLab, or CodeRabbit alongside Codex.
  • Individual developers on ChatGPT Plus looking to test agentic desktop workflows without upgrading plans.
  • Teams using Codex for long-running background tasks (issue triage, CI summaries, release briefs) that benefit from memory and thread resumption.

FAQ

Is "Everywhere" a new Codex model?

No. The underlying model remains GPT-5.3-Codex, which shipped on February 5, 2026. The April 16 update is a product and platform expansion around that model.

Do I need to upgrade my ChatGPT plan to get these features?

No new paid upgrade is required for eligible desktop-app users, but access depends on plan and rollout. Codex is included with Plus, Pro, Business, and Enterprise/Edu, and for a limited time also with Free and Go; some features still roll out separately by region and workspace type.

Does background computer use work on Windows?

Not at launch. The background computer use capability rolled out on macOS first. Windows users can continue using the Codex desktop app (shipped March 4, 2026) but without the parallel desktop-agent behavior.

What happens to my data with the new memory features?

Memory stores preferences, edit history, and gathered context across threads. Enterprise and Education tenants see memory roll out gradually with admin controls. Review your organization's data-retention settings before enabling memory on sensitive workloads.

Can I still use Codex over SSH on remote servers?

Yes, but SSH access to remote devboxes is currently in alpha. Expect breaking changes and limited support until the feature moves to GA.

Compatibility Notes

  • Prior Codex extensions and CLI workflows continue to work; plugins are additive.
  • GPT-5.4 (separately announced for long-context work) is not the engine behind this update — teams needing 1M-token context should evaluate GPT-5.4 independently of this release.

Version History

Everywhere

Current Version

Released on April 16, 2026

+What's new
3 updates
  • Use all apps on your Mac via background computer use—Codex sees, clicks, and types through its own cursor, running multiple parallel agents without blocking your active work
  • Prototype websites and apps with an in-app browser that supports inline comments on live previews, tightening the design-feedback loop inside a single workspace
  • Extend Codex with 90+ new plugins spanning skills, app integrations, and MCP servers, plus GitHub PR review, multi-terminal tabs, SSH to remote devboxes, image generation, and memory preview

GPT-5.3-Codex

Released on February 5, 2026

View Update
+What's new
3 updates
  • Expand Codex from a coding agent into a broader computer-use partner for slides, spreadsheets, research, and analysis, matching GPT-5.2 on GDPval and reaching 64.7% on OSWorld
  • Achieve state-of-the-art results across coding benchmarks with 56.8% on SWE-Bench Pro and 77.3% on Terminal-Bench 2.0, delivered 25% faster than previous versions with fewer tokens consumed per task
  • Enable real-time steering while Codex works, so you can ask questions, redirect the approach, and give feedback mid-task without losing context in long-running sessions

GPT-5.2

Released on December 18, 2025

View Update
+What's new
3 updates
  • Complete large-scale refactors and migrations with enhanced long-horizon capabilities through context compaction, enabling multi-hour debugging sessions without losing context
  • Achieve state-of-the-art results on SWE-Bench Pro and Terminal-Bench 2.0, delivering more reliable agentic coding in real-world terminal environments for complex build and test chains
  • Generate code from design screenshots and technical diagrams with improved vision understanding, shortening the path from mockup to working prototype

GPT-5.1-Max

Released on November 19, 2025

+What's new
3 updates
  • Work continuously across millions of tokens using native multi-context-window compaction, supporting repository-wide refactors and 24+ hour agent loops without interruption
  • Generate equivalent-quality results with 30% fewer thinking tokens on SWE-Bench Verified, reducing cost and latency for high-frequency automated fixes and batch reviews
  • Execute complex tasks in Windows environments with dedicated training support, eliminating environment-specific failures for .NET and native Windows projects

GA

Released on October 6, 2025

+What's new
3 updates
  • Adopt Codex as production-ready with General Availability milestone, bringing stable release cadence and enhanced support for enterprise deployment
  • Dispatch tasks and track progress directly in Slack, reducing tool switching overhead for engineering teams managing bugs and feature requests
  • Integrate Codex capabilities into internal systems using the official SDK, enabling custom code review bots, issue triage automation, and fix suggestion generation

Research Preview

Released on May 16, 2025

+What's new
3 updates
  • Run complex software engineering tasks end-to-end as a cloud-based agent, generating executable changes, running tests in sandboxes, and creating mergeable pull requests
  • Execute tasks powered by codex-1 model, a version of OpenAI o3 optimized for software engineering using reinforcement learning on real-world coding workflows
  • Handle multiple engineering tasks in parallel from the ChatGPT sidebar, with typical completion times between 1 and 30 minutes for bug fixes, feature additions, and test coverage improvements

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