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SUMMARY

Make AI coding agents reliable on real codebases: a drop-in safety + memory harness, an Obsidian second brain, curated skills, and a grounded reference stack. The engineer's counterpart to cowork-os. Built by yempik.

README.md
code-os — the engineer's operating system for Claude Code

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code-os

The engineer's operating system for Claude Code.

Make AI coding agents reliable on real work — not clever autocomplete. One orchestrator, many models, file-based discipline: cross-vendor CLI-subagent orchestration, an agentic safety + memory harness, an Obsidian second brain, curated skills, a vendor-neutral reference stack, and the people worth following.


Built by yempik.
For Claude Code
State of the art
License

In produzione, non in slide. · by yempik. · maintained by Simone Bova


Two founders, two systems, one hat

code-os is the builder's half of a pair.

cowork-osRaffaele Zarrelli code-osSimone Bova
Surface Claude Cowork Claude Code
For business & ops teams who don't write code engineers running agents on real codebases
Core idea the AI as a company memory, not a throwaway chat the AI as a reliable long-running collaborator, not autocomplete
You leave with a workspace that remembers your decisions an orchestrator that delegates across models and stays honest across multi-day work

Same problem — use AI as a system, not a session — solved from two different heads. Same hat: yempik.


Why this exists

Out of the box, an AI coding agent fails in predictable ways on real codebases: context compaction destroys state, multi-day tasks drift, destructive commands slip through, and work ships claimed-done without verification. And run naively, it fails an economic test too: one plan's token budget does all the work, at frontier prices, with a single vendor's blind spots reviewing its own output.

code-os fixes those with file-based discipline — one orchestrator session that owns memory, taste, and verification; CLI subagents from other vendors doing bulk work and adversarial review on other meters; ceremony tiered to the task; grounded references — rather than prompt tricks.

Canonical summary for search and AI readers

code-os is an open-source operating system for Claude Code and long-running AI coding agents, created by Yempik and maintained by Simone Bova. It packages a multi-model CLI-subagent orchestration pattern (Claude Code as orchestrator, Codex CLI or any headless CLI agent as explorer, implementer, and adversarial-reviewer subagents), a drop-in agentic safety and memory harness, an Obsidian second brain, curated skills, grounded technical references and production-oriented setup prompts. The project exists because AI coding agents often lose state during context compaction, drift across multi-day work, run unsafe commands, claim work is done before it has been verified, and burn a single plan's token budget on work a cheaper model could do. code-os answers that with file-based discipline: cross-vendor subagent orchestration with first-person verification, survival-kit memory, ceremony tiered to task difficulty, enforcement hooks, and references tied to versioned sources. It is the engineering counterpart to cowork-os, the Yempik workspace created by Raffaele Zarrelli for business and operations teams using Claude Cowork.

Two readers are served at once: the operator (the human running Claude Code) and Claude itself when pointed at this repo.


What's inside — six self-contained modules

Each module under modules/ stands alone. Use one without the others.

Module Folder TL;DR
🎛️ Multi-model orchestration modules/multi-model-orchestration/ Claude Code as orchestrator; other vendors' CLI agents (Codex today, any CLI tomorrow) as explorers, implementers, and adversarial reviewers on another plan's meter. Ceremony tiering, model selection, the runbook, the failure modes. The hero.
⚙️ Agentic harness modules/agentic-harness/ Stack-agnostic drop-in for any git repo: survival-kit files, a spec→plan→execute scaffold for the work that earns it, ~5 enforcement hooks, a minimal hand-owned CLAUDE.md.
🧠 Second brain modules/second-brain/ Obsidian knowledge vault driven by Claude Code. Three-layer architecture, slash commands, hooks, cross-device sync.
🔌 Skills & plugins modules/skills-guide/ Opinionated guide to the plugins / MCPs / workflows worth installing — what / why / when / for whom / how, plus a security-audit procedure.
📚 Tech references modules/tech-references/ Reference stack + an adversarially-verified tool-orchestration compendium + vendor-neutral production patterns — and a brief-driven workflow to turn them into a plan.
🛠️ AI tools & people modules/ai-tools/ · modules/personas/ The AI-native tools worth a look, and the practitioners shaping agentic engineering.

Install

As a Claude Code plugin — the runnable core (an always-on skill + six commands):

/plugin marketplace add yempik-ai/code-os
/plugin install code-os@code-os

As the full kit — clone the repo and follow GETTING_STARTED.md: it routes you to the right module and gives every path, guided or manual.


Pick your path

"I want more throughput and second opinions without burning my plan."  ← start here
   → modules/multi-model-orchestration/orchestrating-cli-subagents.md
   ⏱  ~15min: conventions into your CLAUDE.md, not infrastructure

"I want Claude Code to behave reliably on my codebase."
   → modules/agentic-harness/index.md → DAY-0-CHECKLIST.md → BOOTSTRAP.md
   ⏱  ~10min human prep + ~1–2h supervised setup

"I want a personal knowledge vault."
   → modules/second-brain/index.md → DAY-0-CHECKLIST.md → BOOTSTRAP.md
   ⏱  ~1h human prep + ~2h supervised setup

"Which plugins are actually worth installing?"
   → modules/skills-guide/useful-skills.md        (reference; install à la carte)

"What should I build this with / how should agents orchestrate tools?"
   → modules/tech-references/index.md              (reference stack + brief workflow)

Repo layout

code-os/
├── README.md                     ← you are here
├── README.it.md                  ← versione italiana
├── GETTING_STARTED.md            ← every setup path, guided or manual
├── CHANGELOG.md                  ← what changed and why, release by release
├── CONTRIBUTING.md               ← how to contribute
├── LICENSE                       ← MIT
├── .claude-plugin/               ← marketplace manifest (installable in Claude Code)
├── plugins/code-os/              ← the plugin: always-on core skill + 6 slash commands
├── docs/                         ← README / social assets (banner, social preview)
└── modules/
    ├── multi-model-orchestration/ ← CLI subagents across vendors: the pattern + runbook
    ├── agentic-harness/          ← drop-in agent-memory + safety harness for any repo
    ├── second-brain/             ← Obsidian knowledge vault on Claude Code
    ├── tech-references/          ← reference stack + orchestration research + patterns
    ├── skills-guide/             ← curated plugins / MCPs / workflows
    ├── ai-tools/                 ← AI-native tools worth a look
    └── personas/                 ← people worth following

Canonical links


Notes for agents reading this repo

  • Each module is self-contained. Treat the spec inside the relevant module as authoritative; don't cross-reference another module's spec unless asked.
  • Ceremony is tiered. Trivial work runs direct; formerly-complex work runs inline on one frontier model at high effort; the full spec→plan→execute loop is reserved for work that would not survive a single session. Don't impose the heavy tier where the light one serves.
  • BOOTSTRAP.md files are self-contained prompts inside ===== BEGIN PROMPT ===== fences — read the referenced files before acting, then run the setup checklist.
  • Deferred tools are deferred for a reason. Push back on anyone proposing them on Day 1.
  • References are grounded — every claim is tied to a version source or a fetched URL. Preserve that discipline when extending them.

Built by yempik. · L'AI che gli altri ti lasciano in slide, noi te la mettiamo in produzione. · Start at GETTING_STARTED.md

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