oh-my-codex vs oh-my-claudecode: which should you pick?

oh-my-codex vs oh-my-claudecode

AI coding tools are good at writing code and bad at managing themselves. One assistant plans, builds, tests and then grades its own homework. On bigger jobs, steps get skipped.

Two sibling projects attack that problem the same way. oh-my-claudecode (OMC) organises Claude Code into a team of specialists. oh-my-codex (OMX) does the same for OpenAI's Codex CLI. Both come from the same creator, Yeachan Heo. If you're wondering which one belongs on your machine, this is the plain-English breakdown.

01The short answer

Pick the one that matches the AI you already pay for. Both are free; the real cost is the subscription underneath. OMC needs Claude Code and a Claude plan or API key. OMX needs Codex CLI and a ChatGPT plan that includes Codex, or an OpenAI API key.

The workflows overlap a lot. Both start fuzzy ideas with a deep interview (the AI asks you questions until the requirements are clear), agree a plan with ralplan, then build and check the result. If you've read our oh-my-claudecode explainer, most of the ideas carry over.

02What oh-my-codex actually is

Its npm package describes it as a "multi-agent orchestration layer for OpenAI Codex CLI". In plainer words, it's a workflow layer. Codex still does the actual coding. OMX adds reusable specialist roles, ready-made workflows (called skills), project guidance through an AGENTS.md file, and a .omx/ folder that stores plans, logs and memory.

It moves fast. Version 0.21.24 shipped on October 20, 2026, and GitHub listed 156 releases at that point. The changelog only goes back to February 2026, so the project is young. The README is blunt about who it's for: "If you want plain Codex with no extra workflow layer, you probably do not need OMX."

One difference you'll notice right away: OMX skills start with a dollar sign, not a slash. You type $deep-interview, $ralplan and $team inside Codex, where OMC uses /deep-interview and /team inside Claude Code. OMX's default path is $deep-interview, then $ralplan, then $ultragoal. That last one breaks an approved plan into durable goals with checkpoints, so long tasks survive across sessions.

03Codex CLI basics, if you're coming from Claude

Codex CLI is OpenAI's coding agent for the terminal. It's open source under the Apache-2.0 license, had roughly 130,000 GitHub stars in October 2026, and its latest release was 0.163.0 (October 15, 2026). The official README offers a one-line installer, npm or Homebrew:

curl -fsSL https://chatgpt.com/codex/install.sh | sh
# or
npm install -g @openai/codex
# or
brew install --cask codex

Then run codex in a project folder and choose Sign in with ChatGPT. You can use an API key instead, which is billed separately from ChatGPT plans and takes extra setup.

Which plans include it? OpenAI's Codex pricing page says Codex is included in ChatGPT Free, Go, Plus, Pro, Business and Enterprise, with usage limits that vary by plan. Free and Go get limited, trial-style access. The Codex README recommends signing in on a Plus, Pro, Business, Edu or Enterprise plan. Also note that OpenAI's pricing docs say ChatGPT Work and Codex share the same usage allowance, so heavy use of one drains the other.

04oh-my-codex vs oh-my-claudecode, side by side

Notice how symmetrical the last rows are. Each project can bring in the other company's AI as a second opinion or as extra workers. That matters if you pay for both, which we'll get to.

05How the agents differ

OMC's trick is model routing. Each agent is pinned to a Claude tier: Opus for planning and reviews, Sonnet for building, Haiku for quick searches. OMX takes a different route. Its README says a fresh setup defaults every role to the same OpenAI model. What changes per role is the reasoning effort, meaning how long the model thinks before it answers.

The principle is the same in both projects: the planner doesn't write the code it plans, and the reviewer doesn't review its own work. Only the lever differs. OMC saves money by sending simple work to cheaper models. OMX keeps one strong model and turns its thinking time up or down.

06Which one should you pick?

For most founders, the decision comes down to two questions: which tool do you use most, and do you pay for both?

Two tie-breakers. If you're on Windows, OMC is the safer start: the OMX README says native Windows "may break or behave inconsistently". And if you're on neither tool yet, don't pick based on the add-on. Pick the base tool whose plan you can afford, learn it for a few weeks (our Claude Code beginner's guide covers that path), then layer on the matching add-on.

07Using both together

Paying for both? You don't have to choose. OMC's team mode can spawn Codex CLI workers in separate tmux panes (tmux splits one terminal into several). A Claude lead plans and checks, while Codex does part of the building.

Is it worth it? Nobody has published numbers on mixed teams. The appeal is a genuine second opinion: a model from a different company may not share the same blind spots. The cost is two sets of usage limits ticking down at once.

08The catches

• Both move very fast. OMX shipped several releases in a single October week. OMC's v5.0 (August 2026) removed 14 skills and 7 commands. Expect tutorials, including this one, to age quickly.
• No head-to-head proof. OMC's "3–5× faster" and "30–50% fewer tokens" figures are the project's own claims. OMX makes no such headline claims, and the eval file in its repo compares model settings inside OMX (24 runs), not OMX against plain Codex.
• OMX's power flag is dangerous. The README recommends launching with --madmax, which is shorthand for Codex's --dangerously-bypass-approvals-and-sandbox. It removes the safety prompts. Only use it in a trusted repo, ideally inside a separate worktree.
• Platform limits. OMX is "primarily designed" for macOS or Linux with Codex CLI. Team mode on either project needs tmux.
• Watch the name. The OMX README warns that forks called things like "OMX v2" aren't official. The real package is oh-my-codex from github.com/Yeachan-Heo/oh-my-codex. The README also promotes a lighter sibling from the same author, gajae-code; its "faster, cheaper" pitch is likewise the project's own claim.

09How to try oh-my-codex

You need Node.js 20 or newer and a working, signed-in codex command. If Homebrew already installed Codex, don't reinstall it with npm; the README warns this can fail with an EEXIST error. Then:

npm install -g oh-my-codex
omx setup --scope user
omx doctor

omx doctor checks the install. To prove Codex can actually sign in and answer, the README suggests a real smoke test:

codex login status
omx exec --skip-git-repo-check -C . "Reply with exactly OMX-EXEC-OK"

Launch OMX from a git project in its own worktree, then start with an interview on something real:

omx --worktree=feat/waitlist
$deep-interview "a waitlist page for my app with email signup"
$ralplan "plan the waitlist page we just clarified"
$ultragoal "build the approved waitlist plan"

Already on Claude? The OMC install is three commands inside Claude Code, covered step by step in our oh-my-claudecode guide.

10Verdict

These aren't really rivals. They're the same idea, plan before building and check before calling it done, fitted to two different AI engines. The better one is whichever matches the plan you already pay for. OMC has more stars and builds in model routing. OMX is still pre-1.0 (v0.21) and moves even faster, and it's the obvious choice if your money goes to OpenAI.

Neither has proven it beats its plain base tool, so treat both as experiments. Install the matching one on a side project, use it for a week, and compare it with plain Claude Code or plain Codex on the same kind of task. Keep what saves you time. No guru energy required.

SourcesSources and further reading

• oh-my-codex on GitHub: README, LICENSE, CHANGELOG, package.json, skills/ and src/agents/definitions.ts (checked at v0.21.24, October 20, 2026).
• oh-my-codex on npm: version 0.21.24, MIT, Node.js 20 or newer.
• oh-my-claudecode on GitHub: README, agent definitions and team docs (v5.6.1; npm package oh-my-claude-sisyphus at 5.7.5).
• OpenAI Codex CLI on GitHub: installation, sign-in and license (release 0.163.0).
• Codex CLI documentation: install and sign-in steps.
• Codex pricing and Using Codex with your ChatGPT plan: which plans include Codex, and current CLI features.
• gajae-code on GitHub: the lighter sibling project.

Facts were checked on October 20, 2026. Tools like these change quickly; if something here is out of date, tell us on X.

Your Average Tech Founder

Host of The relatable entrepreneurship podcast, recorded in Da Nang, Vietnam. Writes about the tools, repos and habits that help founders in the making build better. No guru energy.