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Codex

Codex is OpenAI's coding agent for understanding repositories, writing code, running tools and reviewing changes.

Codex illustration
FINDGOODAI / USE CASE NOTES
Codex: Use cases
1. Fix a bug in an existing project.
2. Implement and test a requested feature.
3. Review changes before a commit or pull request.

About Codex

Codex works with project files and development tools in local clients or cloud environments. It can investigate a bug, implement a feature, run checks and prepare code for review. Cloud tasks use their own project workspace and can continue while your computer is asleep.

Main features

  • Inspect a repository and plan a code change.
  • Edit files and run project commands or tests.
  • Review uncommitted changes, commits or pull requests.
  • Run tasks in a configured cloud environment.
  • Use skills, plugins and MCP integrations.
  • Automate repeatable workflows through CLI or SDK.

Inputs, outputs and access

ItemDetails
Task inputText instructions, project files and screenshots or images in the CLI.
Task resultsCode changes, explanations, command and test results, and review findings.
Keeping the resultProject files, Git commits and pull requests.
Sign-inChatGPT sign-in; supported local clients can alternatively use an API key. Cloud requires ChatGPT sign-in.
ExecutionLocal repositories and tools, or a configured cloud environment with a separate workspace per task.
AutomationInteractive CLI, codex exec, SDK, skills, plugins and MCP.
CLI platformsWindows, macOS and Linux.

Capabilities in practice

Keep investigation, changes and checks in one terminal

Run Codex in a project directory and describe the task, adding a screenshot when useful. It can explore files, edit the project and use installed development tools. You can inspect commands and diffs while steering the same session. Dedicated review can inspect uncommitted changes, a commit or a base branch, and codex exec brings repeatable work into scripts and CI.

Prepare once, then start separate cloud tasks

Select GitHub repositories in a cloud environment and let Codex inspect the project, install dependencies and test the setup. Review and publish that environment before assigning work. Each task gets its own workspace while reusing the prepared repositories and tools. Results include changed files and checks, with follow-up requests, commits and pull requests available from the review workflow.

CLI 0.160.0 improves continuing work

The October 1, 2026 release adds keyboard access to older tasks and restores saved permissions when resuming sessions. It also fixes queued-message recovery after reconnecting and corrects resume and fork history. Windows changes address PowerShell fallback, long-path permission repair and unwanted helper windows, improving the practical experience of returning to ongoing terminal work.

See the product in use

Review Codex changes in the IDE
Review Codex changes in the IDE · The review view places file differences beside the task conversation.

Platforms and access

ChatGPT desktop app, web, Codex CLI, IDE extension and eligible cloud/mobile workflows; CLI installers cover Windows, macOS and Linux.

Pricing and plans

Monthly prices are Free USD 0, Go USD 8, Plus USD 20, and Pro USD 100/200/500. Free/Go Codex desktop access is subject to rollout. Business is USD 25/user/month when paid monthly, or USD 240/user/year, equivalent to USD 20/month, with at least 2 users. Enterprise/Edu require a quote. Usage is shared with ChatGPT Work and varies by model and task; eligible plans can buy credits. API-key work follows separate API billing.

Open source and deployment

The CLI, SDK and app-server components are open source. The Codex repository uses Apache-2.0; that code license does not cover hosted cloud services or model weights. The IDE extension and Codex Cloud are not open source.

Data and privacy

Data handling follows the login method: ChatGPT workspace policies for subscription access, and API organization retention/sharing settings for API keys. Business data is not used for training by default.

Frequently asked questions

Do I need an API key?

No. Sign in with ChatGPT for subscription access. An API key is an alternative for supported local workflows.

Does Codex have its own unlimited task allowance?

No. Usage depends on model and task. Codex and ChatGPT Work share usage, and local/cloud work draws on the same plan allowance.

Can I leave a cloud task running?

Yes. A task in a published Codex Cloud environment has its own workspace and can keep working while your computer is asleep.

Can I use an API key for Codex Cloud?

No. Codex Cloud requires ChatGPT sign-in; API-key access is for supported local clients and is billed separately.

Is the whole Codex product open source?

The CLI, SDK and app-server components are open source. The IDE extension and Codex Cloud are not open source.

Demos and tutorials

Product updates

Product and provider

Suitable tasks and users

Fix a bug in an existing project. Implement and test a requested feature. Review changes before a commit or pull request. Run repeatable coding work in scripts or CI. Developers maintaining software repositories. Engineering teams reviewing and coordinating changes. Builders prototyping and testing software.

Availability

Available for use.

Ways to use Codex

Codex works through terminal, IDE and cloud workflows; local code and tool execution stay attached to a selected project.

Related tasks

Software development and code review.

Topics

Coding agent, repositories and code review.

Delivery

Local agent runtime and hosted cloud tasks.

AI tasks

Code editing, review and command execution.

Interaction

CLI, IDE conversations and cloud tasks.

Before starting

Provide the project repository and its development tools, with the required file and execution permissions.

Value proposition

Codex is OpenAI's coding agent for understanding repositories, writing code, running tools and reviewing changes.

Files and results

Input formats

Project source files and text instructions.

Editing results

Review file differences and edit the generated project source in your development environment.

From a task to a result

Start with a concrete task

Choose a Codex client and sign in with ChatGPT, or use an API key for supported local workflows. → Open a repository or select a published cloud environment; describe the task and acceptance criteria. → Inspect the diff and test results, then commit or open a pull request.

Platforms and availability

Platforms and limits

ChatGPT desktop app, web, Codex CLI, IDE extension and eligible cloud/mobile workflows; CLI installers cover Windows, macOS and Linux. Plan, model, task complexity and local/cloud execution affect usage. ChatGPT Work and Codex share usage; local messages and cloud tasks draw on the same plan allowance. API-key usage is billed at API rates and does not enable Codex Cloud. Workspace policies and configured permissions control what Codex can access and execute.

Documentation language

English product documentation is available.

Account access

Sign in with a supported ChatGPT account or API credentials for the chosen workflow.

Subscriptions and billing

Access model

Free access conditions, subscriptions and additional usage are described in the plan row.

FreeUSD 0 · Limited desktop access subject to rollout. Quick coding tasks.
GoUSD 8/month · Lightweight desktop coding subject to rollout.
PlusUSD 20/month · Individual subscription; Codex access and shared Work usage. Depends on model/task; local and cloud share allowance; weekly limits may apply.
Pro 100USD 100/month · Individual subscription.
Pro 200USD 200/month · Individual subscription.
Pro 500USD 500/month · Individual subscription.
Business monthlyUSD 25/month · Per user; minimum 2 users.
Business annualUSD 240/year · Per user; minimum 2 users; equivalent USD 20/month.
Enterprise & EduContract pricing · Custom agreement.
API keySeparate API model rates; no Cloud access.

Apps, integrations and development

Automate with the SDK

The TypeScript package @openai/codex-sdk runs server-side on Node.js 18 or later. It starts, continues and resumes local Codex threads for internal tools and CI jobs.

MCP client and integration boundary

Codex still connects to external MCP tools. Hosting Codex itself through codex mcp-server has been removed; app-server integrations use a separate JSON-RPC protocol.

Reusable workflows and connections

Plugins can combine reusable skills, MCP services and hooks. Connected services keep their own account permissions, and hooks must exist in the execution environment.

Api availability

The SDK provides programmatic control of local Codex agents.

Protocols

SDK automation and experimental app-server JSON-RPC.

API operations

Start, continue and resume local coding threads.

API versions

Existing server integrations must migrate protocols; app-server is experimental.

Ownership and deployment

CLI source and licence

The Codex CLI is open source under Apache-2.0. This licence covers the CLI code, while hosted services and model weights remain separate products.

Source visible

Codex CLI source is public.

Source repository

openai/codex repository.

License identifiers

Apache-2.0 for the CLI.

Licence scope

CLI code only; no inference that hosted services or weights share this licence.

Local deployment

The CLI runtime runs locally; hosted inference and cloud services are separate.

Deployment choices

Local CLI, IDE extension and hosted cloud.

Generated code export

Edits are ordinary project files and Git changes.

Export scope

Project source files and Git changes.

Privacy and organization controls

Control local execution

The sandbox controls file and network access; approval policy controls review. Ask for approval allows routine work inside the workspace and asks before crossing its boundary. Full access permits broader commands without per-action approval.

Project context and external data

Coding context includes prompts, selected project files and tool output. When a plugin sends content through MCP, the connected service handles that data under its own permissions and policies.

Model training

Business and API data are not used for training by default; API organization settings and the selected account policy apply.

Export, migration and alternatives

Keep the code in your repository

Review and keep changes in the project repository. The output can be opened with other editors and handled through normal Git workflows.

Sources and further reading

Information checked: 2026-10-02

Codex CLI

View source · OpenAI

Codex Cloud

View source · OpenAI

Codex and ChatGPT Work pricing

View source · OpenAI

Authentication

View source · OpenAI

Open Source

View source · OpenAI

ChatGPT & Codex changelog

View source · OpenAI

Official ChatGPT Learn video directory

View source · OpenAI

Official Codex repository LICENSE

View source · OpenAI

Codex SDK

View source · OpenAI

Codex MCP server removal

View source · OpenAI

Plugins

View source · OpenAI

Permissions

View source · OpenAI

Codex IDE extension

View source · OpenAI

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OpenAI Multi-agent in Practice: Responses API, Tools and Parallel Workflows — Start with a GPT-6.1 Sol review example and learn task delegation, application tools, and HTTP versus WebSocket.

Setup guide: ChatGPT MCP plugins

How to Add MCP Plugins to ChatGPT: A Pro Setup Guide with Screenshots — Follow connection, installation and first-call checks, with screenshots and troubleshooting.

What can you do with it?

01

Fix a bug in an existing project.

02

Implement and test a requested feature.

03

Review changes before a commit or pull request.

04

Run repeatable coding work in scripts or CI.

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Claude Code with Codex Computer Use: What an Unofficial MCP Bridge ChangesProductivity guides · ↗GPT-6 vs Claude: Passing Tests Is Not the Same as Shipping Good CodeModel basics · ↗

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