Agent skill · AI & Agents

agentic-os

Build persistent multi-agent operating systems on OpenAI Codex. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.

mturacgithub.com/mturacGitHub ↗
codexcopilotcursorMIT
Install
npx skills add mturac/everything-openai-codex --skill agentic-os --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/agentic-os/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 84
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Agentic OS Treat OpenAI Codex as a persistent runtime / operating system rather than a chat session. This skill codifies the architecture used by production agentic setups: a kernel config that routes tasks to specialist agents, persistent file-based memory, scheduled automation, and a JSON/markdown data layer. ## When to Activate - Building a multi-agent workflow inside OpenAI Codex - Setting up persistent OpenAI Codex automation that survives session restarts - Creating a "personal OS" or "agentic OS" for recurring tasks - User says "agentic OS", "personal OS", "multi-agent", "agent coordinator", "persistent agent" - Structuring long-running projects where context must survive across sessions ## Architecture Overview The Agentic OS has four layers. Each layer is a directory in your project root. ``` project-root/ ├── CODEX.md # Kernel: identity, routing rules, agent registry ├── agents/ # Specialist agent definitions (markdown prompts) ├── .codex/commands/ # Slash commands: user-facing CLI ├── scripts/ # Daemon scripts: scheduled or event-driven tasks └── data/ # State: JSON/markdown filesystem, no external DB ``` ### Layer Responsibilities | Layer | Purpose | Persistence | |--

What's inside
Steps it walks through
  1. When to Activate
  2. Architecture Overview
  3. Layer Responsibilities
  4. The Kernel
  5. Kernel Structure
  6. Key Principle
  7. Specialist Agents
  8. Agent Definition Format
  9. Multi-Agent Collaboration Pattern
  10. Commands and Daily Workflows
  11. Command Structure
  12. Standard Command Set
  13. Activating Commands
  14. Persistent Memory
Commands it runs
ecosystem.config.js
module.exports = {
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About this skill
What does the agentic-os skill do?

Build persistent multi-agent operating systems on OpenAI Codex. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.

How do I install it?

Run `npx skills add mturac/everything-openai-codex --skill agentic-os --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going