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Everything OpenAI Codex

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A workflow system turning AI coding agents into repeatable engineering environments.

Autonomous AgentsGeneral-Purpose 78Open source
View on GitHub
Updated 2026-06-15
Everything OpenAI Codex GitHub repository

What is Everything OpenAI Codex?

Everything OpenAI Codex is a maintained workflow system extracted from real project use. It packages 60 agents, 232 skills, 110 rules, and supporting modules into one repository that works with OpenAI Codex, Cursor, Gemini, Zed, GitHub Copilot, and similar tools.

The core execution model runs through Intake, Route, Plan, Execute, Verify, Capture, and Resume stages. These stages are implemented via files such as AGENTS.md, skills directories, hook profiles, quality-gate scripts, and session tools that keep runs reproducible and stateful.

It targets developers and teams running repeated AI-assisted coding tasks who need boundaries, verification, and handoff capabilities instead of ad-hoc prompts.

What you can build with Everything OpenAI Codex

Scoped AI coding sessions

Define ownership and safety rules before work begins so agents stay within project boundaries.

Cross-tool workflow reuse

Apply the same skills and rules when switching between Codex, Cursor, Gemini, or Copilot harnesses.

Evidence-based task completion

Run verification loops and manifest checks to produce documented results for handoff or review.

Install Everything OpenAI Codex

Quick start
# Recommended for OpenAI Codex plugin users
/plugin marketplace add https://github.com/mturac/everything-openai-codex
/plugin install eoc@eoc
  1. 1Clone the repository from GitHub.
  2. 2Review AGENTS.md and install profiles to set boundaries.
  3. 3Select and activate relevant skills or agents for the task.
  4. 4Run the intake-to-verify loop using provided scripts.
  5. 5Capture session state with status or session tools for later resume.

Everything OpenAI Codex: pros & cons

Pros

  • +Broad harness compatibility including Codex, Cursor, Gemini and others
  • +Large catalog of ready-to-use agents, skills, and rules
  • +Built-in verification and session memory features
  • +Open-source with MIT license and multi-language docs

Cons

  • Rust control plane remains in alpha
  • Requires initial configuration of profiles and rules
  • No single-command installer documented
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An open-source workflow system that adds memory, rules, and verification to AI coding agents across multiple tools.

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