OMX is a workflow layer for OpenAI Codex CLI, enhancing its usability with hooks, agent teams, and HUDs.
Source: README View on GitHub →OMX is gaining attention due to its integration with Codex CLI, offering a structured workflow and additional features like hooks and agent teams. Its focus on improving Codex's usability and workflow management is a unique technical choice that addresses the need for more sophisticated and efficient code execution processes.
Source: README, project traitsOMX provides a standardized workflow with commands like $deep-interview, $ralplan, $team, and $ralph, enhancing the efficiency of Codex CLI sessions.
Source: READMEOMX supports the creation of agent teams for parallel execution, allowing for more complex and collaborative workflows.
Source: READMEOMX includes heads-up displays (HUDs) and hooks for better runtime assistance and integration with other tools.
Source: READMEOMX stores project guidance, plans, logs, and state in a dedicated directory, ensuring persistence across sessions.
Source: READMEThe architecture of OMX is modular, with separate directories for agents, plugins, and runtime core. It uses TypeScript as the primary language and leverages Cargo for Rust-based components. The project employs a combination of design patterns, including the use of hooks for runtime integration and a plugin system for extending functionality.
Source: Code tree + dependency filesCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
@openai/codextmuxpsmuxOMX is suitable for developers and technical teams using OpenAI Codex CLI who require a more structured and efficient workflow. It is particularly useful for complex projects that benefit from parallel execution, persistent state management, and enhanced runtime assistance.
Source: READMEv0.17.3 (2026-05-14): Hotfix release to restore default 'omx team' launch for Codex CLI-first/plugin configs.
Source: GitHub ReleasesOMX is a valuable tool for Codex CLI users seeking to enhance their workflow with additional features and a structured approach. It is particularly beneficial for those working on complex projects that require parallel execution and persistent state management. Its focus on improving the Codex experience makes it a project worth watching for developers and technical teams.