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Everything Openai Codex

EOC: open-source operating system for OpenAI Codex workflows with agents, skills, hooks, rules, memory, safety gates, and cross-harness adapters.

Install

$/plugin marketplace add https://github.com/mturac/everything-openai-codex

Install command taken from the project's README or registry entry. Always review code before running it.

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Everything OpenAI Codex

Live GitHub badges above are the source of truth. EOC is a field-tested, MIT-licensed Codex workflow system with 12+ language ecosystems, a working repo-marketplace plugin path, and a public rc.1 release track.


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English | Português (Brasil) | 简体中文 | 繁體中文 | 日本語 | 한국어 | Türkçe | Русский | Tiếng Việt | ไทย


The operating system for serious OpenAI Codex work.

Everything OpenAI Codex, or EOC, turns a raw agent harness into a repeatable engineering environment: scoped instructions, reusable skills, quality gates, session memory, install profiles, cross-harness adapters, and release evidence in one open-source repo.

This is not a prompt dump. It is a maintained workflow system extracted from daily Codex use on real software projects. The repo currently ships a validated catalog of 60 agents, 232 skills, 110 rules, 28 hook matchers, 29 install modules, and 75 legacy command shims.

Works across OpenAI Codex, Cursor, OpenCode, Gemini, Zed, GitHub Copilot, Trae, and adjacent agent harnesses.

EOC v2.0.0-rc.1 adds the public Hermes operator story on top of that reusable layer: start with the Hermes setup guide, then review the rc.1 release notes and cross-harness architecture.

EOC Execution Model

EOC is organized around a repeatable operator loop, not a single prompt pack:

Intake -> Route -> Plan -> Execute -> Verify -> Capture -> Resume

That loop is backed by concrete repo surfaces:

Loop stage EOC surface
Intake and boundaries AGENTS.md, agent.yaml, install profiles, .codexignore, and safety rules define what the agent owns before work starts
Routing skills/, agents/, rules/, commands/, and cross-harness adapters map a task to the right specialist workflow
Execution hook profiles, MCP configs, install manifests, and orchestration scripts keep runs reproducible across Codex, Cursor, OpenCode, Gemini, Zed, Copilot, and Trae
Verification /quality-gate, skills/verification-loop/, skills/eval-harness/, scripts/preview-pack-smoke.js, manifest validators, and docs tests turn completion into evidence
Capture and resume scripts/status.js, scripts/work-items.js, scripts/session-inspect.js, scripts/sessions-cli.js, hook snapshots, and ecc2/ alpha session commands preserve state for handoff or continuation

The stable public layer is the contract-and-workflow system above. The Rust control plane in ecc2/ is the in-tree alpha runtime for dashboard, session, status, start, stop, resume, and daemon flows; it is intentionally labeled alpha until packaging and cross-harness resume semantics mature.

Why This Exists

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