Landing page: https://codexify.dev/
Turn ChatGPT into a Codex-like coding environment — without using your Codex/Work quota.
Codexify gives a regular ChatGPT conversation the tools to work on your projects: file editing, terminal commands, Git, interactive diffs, and reusable skills. Describe a task, let ChatGPT inspect the code, make changes and run tests, then review the result — all from the same conversation.
ChatGPT does the reasoning; your machine runs the tools. Codexify connects them through Model Context Protocol (MCP), rather than running a Codex agent or starting a ChatGPT Work task. The normal workflow uses your ChatGPT allowance, leaving your Codex/Work quota untouched.
ChatGPT's own usage limits still apply. If you explicitly invoke Codex, Work, or another metered service through connected tools, that service's usage counts normally.
Get started · Documentation · Website · Downloads
Codexify runs inside an ordinary ChatGPT Chat, so the relevant limits are the Chat allowances rather than the Work/Codex quota. Codexify doesn’t use any Codex/Work quota, it only uses Chat quota which is independent:
| Plan | GPT-5.6 Luna | GPT-5.6 Sol | GPT-5.6 Sol Pro | GPT-6 Astra Pro | Context window size |
|---|---|---|---|---|---|
| Free | ∞ | — | — | — | Varies |
| Go ($20/month) | ∞ | — | — | — | 256K |
| Plus | ∞ | ∞ High | — | — | 256K |
| Pro 5x ($100/month) | ∞ | ∞ Extra High | 50 messages/week, shared with GPT-6 Astra Pro | 50 messages/week, shared with GPT-5.6 Sol Pro | 400K |
| Pro 20x ($200/month) | ∞ | ∞ Extra High | 1,190 messages/week (170 messages/day max) | 200 messages/week | 400K |
Note: the context window is the total shared reasoning window, not the amount reserved exclusively for user input: system instructions, tools, memory, internal reasoning, and the response also consume it.
See OpenAI's Plan tiers details for more information.
- Explore, edit, and test. Search a codebase, apply patches, run your project's tests, and inspect the results.
- Review the work. See file changes in an interactive diff card, and exchange attachments and generated files with ChatGPT.
- Keep projects organized. Connect one repository or choose a project for each conversation. Optional Git worktrees keep concurrent edits in separate checkouts.
- Bring your conventions. Load
AGENTS.mdand skills, and save task notes and plans for later conversations. - Connect more tools. Make local or remote MCP servers available through the same connector, including servers configured in Codex.
Codexify runs on macOS, Linux, and Windows. You need a ChatGPT account or workspace with custom MCP apps enabled and access to OpenAI Secure MCP Tunnels in an OpenAI Platform organization. ChatGPT access and tunnel permissions are separate; a workspace administrator may need to grant them.
macOS / Linux
curl -q -fsSL https://codexify.dev/install.sh | shWindows PowerShell
powershell -ExecutionPolicy ByPass -c "irm https://codexify.dev/install.ps1 | iex"The installer verifies the downloaded binary's checksum and adds it to your PATH.
When a config already exists it also refreshes the per-user background service;
on a first install, quickstart creates the config and installs the service. No
Rust toolchain is needed. Open a new terminal after installation so the
codexify command is available.
macOS release binaries use the stable Developer ID identity dev.codexify and
are published only after Apple accepts both Intel and Apple-silicon
notarizations. The first signed update from an older ad-hoc build may require one
final macOS privacy reapproval; later signed updates retain the same identity.
Prefer a manual install? Get a prebuilt binary or read the installation guide. The installer source is available for macOS/Linux and Windows.
codexify quickstartThe wizard defaults to multi-project mode, asks for the matching projects root or
single project directory, then guides you through creating a tunnel, its runtime
API key, and the Codexify connector in ChatGPT. It prints the links and exact
settings to use, saves your configuration, and starts the connection.
Keep Codexify running while you use it; the background service handles that for a
standard installation.
This setup uses an outbound OpenAI tunnel: you do not need a public server URL or an inbound port. For other deployments, see connection options.
Start a regular Chat conversation in ChatGPT, not a Work or Codex task, and select the connector you created. If you enabled multiple projects, give ChatGPT the project path or choose one when asked. Start with a read-only request:
Call get_agent_brief and follow the project's instructions.
Explain how this project is organized. Do not change any files.
Then ask for a concrete change, for example:
Fix the failing test, run it again, and show me the diff. Do not commit yet.
A conversation stays attached to its selected project. Start another chat for a different project; see the workspace guide for project selection and worktree options.
Codexify runs real commands with your user account's permissions. Shell execution is unrestricted by default. Project boundaries and Git worktrees are not an operating-system sandbox, and commands can reach beyond the project.
Start with a trusted repository, review requested actions, and keep credentials out of chats and version control. A private tunnel keeps the MCP endpoint off the public internet; it does not make inference local. Code and tool results returned to ChatGPT are sent to OpenAI.
See the security reference for access controls, command restrictions, and the authority of connected MCP servers.
| Task | Command |
|---|---|
| Check configuration and connectivity | codexify doctor |
| Print or inspect configuration | codexify config · codexify config get <key> |
| Edit configuration | codexify config edit |
| Check the background service state | codexify service status |
| Follow the formatted service log | codexify service logs -f |
| Stop the background service | codexify service stop |
| Start it again | codexify service start |
| Restart it without changing login startup | codexify service restart |
To update a standard installation, ask ChatGPT to update Codexify. After the service restarts, open the connector in ChatGPT Settings and click Refresh at the bottom of its tool list. The update guide explains the process.
For setup problems, start with Troubleshooting. Report reproducible bugs in GitHub Issues.
| Looking for... | Read |
|---|---|
| Setup and usage guides | Wiki |
| CLI options, configuration, and tool behavior | Technical reference |
| Additional MCP servers and reusable workflows | MCP bridging · Skills |
| Building or contributing | Architecture · Development commands |
MIT. Codexify is an independent project, not affiliated with OpenAI.
These connect a ChatGPT conversation to tools on your machine, as Codexify does.
| Project | Focus |
|---|---|
| CodexPro | Local coding tools, attachment import, and handoff plans. |
| local-dev-mcp | Registered projects with file, Git, shell, browser, and mobile tools. |
| codex-free | Rust MCP bridge with coding tools, saved context, skills, and MCP aggregation. |
| chatgpt-web-oauth-mcp | OAuth connector with background jobs, terminal sessions, and optional CLI-agent delegation. |
| Agentic MCP | Structured editing, Git worktrees, semantic navigation, and checkpoints. |
| Local Coding Agent | MCP workspace with desktop tray apps, a dashboard, and browser-preview tools. |
These bring web-chat models into a coding client rather than making ChatGPT the primary interface.
| Project | Focus |
|---|---|
| codex-chatgpt-web | ChatGPT Web as selectable Codex models through an embedded browser, with optional access to the active Codex task's tools. |