A new open-source project is changing how developers work with OpenAI’s Codex CLI. OmX (pronounced “Oh My codeX”) has exploded to over 11,000 GitHub stars in rapid succession, offering a workflow layer that transforms Codex from a solo coding assistant into a coordinated multi-agent development powerhouse.
What is OmX?
OmX is a workflow layer for OpenAI Codex CLI that keeps Codex as the execution engine while adding better prompts, workflows, and runtime assistance when projects grow beyond a single task.
“Start Codex stronger, then let OMX add better prompts, workflows, and runtime help when the work grows,” explain the developers on the project website.
The project was created by Yeachan Heo with contributions from an impressive roster including team members from Anthropic, HaD0Yun, and other AI development communities. The project even has built-in support for OpenClaw integration, allowing it to serve as a notification gateway for AI agents.
Core Workflow: Clarify, Plan, Execute
OmX introduces a structured approach to AI-assisted development with four canonical skills:
-interview: “Clarify the authentication change” ??Use when request boundaries are still vague. This skill helps developers articulate exactly what they need before writing a single line of code.
: “Approve the safest implementation path” ??Transform clarified requirements into an approved architecture and implementation plan with tradeoffs analyzed.
: “Carry the approved plan to completion” ??Persistent completion and verification loops for when one owner should keep pushing until done.
: “Execute the approved plan in parallel” ??Coordinated parallel execution when work is big enough to warrant multiple agents working simultaneously.
The workflow is designed for team-based development. The canonical path is:
- Start with
-interviewto clarify scope - Use
to approve the implementation plan - Choose
for parallel execution orfor single-owner completion
Agent Teams and Multi-Agent Orchestration
OmX’s team runtime allows developers to spin up coordinated agent teams that work in parallel on complex projects. The team feature requires tmux on macOS/Linux or psmux on Windows for process management.
Built-in roles include:
- executor: Carries out approved plans in parallel
- reviewer: Verifies code quality and correctness
- researcher: Gathers information and explores alternatives
Teams can be resumed, shut down, and monitored through the omx CLI. State is persisted under the .omx/ directory, including plans, logs, memory, and runtime mode tracking.
HUD for Real-Time Monitoring
The HUD (Heads-Up Display) feature provides real-time monitoring of agent activity. Running omx hud --watch displays a status surface showing what agents are working on, their current states, and progress updates.
This transparency helps developers understand exactly what their AI agents are doing, reducing the “black box” problem that plagues many AI-assisted development tools.
Skills Library
Beyond the canonical workflow skills, OmX includes a library of supporting skills accessible via /skills. These include browsing installed skills and helper functions that assist with common development tasks.
The project maintains extensive documentation covering:
- Getting Started
- Agent Catalog
- Skills Reference
- Integrations (including OpenClaw)
- Demo Guide
Quick Start
Getting started with OmX is straightforward:
npm install -g @openai/codex oh-my-codex
omx setup
omx --madmax --highThe --madmax --high flags launch OMX with maximum concurrency for the best initial experience.
Platform Support
OmX supports:
- macOS/Linux: Requires tmux for team runtime
- Windows: Requires psmux for native Windows team mode
- Node.js: Version 20 or higher required
- Codex CLI: Must be installed and authenticated
Note for Intel Mac users: OMX startup with --madmax --high can spike syspolicyd/trustd CPU usage while macOS Gatekeeper validates concurrent process launches. Workarounds include running xattr -dr com.apple.quarantine or using lower concurrency settings.
OpenClaw Integration
Notably, OmX includes built-in support for OpenClaw integration, providing a guide for connecting OmX agent activities to OpenClaw’s notification gateway. This allows teams using OpenClaw to receive real-time updates from their OmX agent teams.
The Bigger Picture
OmX represents a trend toward structured, workflow-oriented AI assistance. Rather than treating AI as a magic autocomplete, OmX enforces deliberate practices: clarify before coding, plan before executing, verify after completing.
With Codex serving over 2 million weekly users (up 5x in three months) according to OpenAI’s recent announcements, tools like OmX that make AI-assisted development more structured and predictable are finding strong traction.
The project is released under the MIT license and welcomes contributions from the developer community. With multilingual documentation in English, Korean, Japanese, Chinese, Vietnamese, Spanish, Portuguese, Russian, Turkish, German, French, Italian, Greek, and Polish, OmX is clearly targeting a global developer audience.