ORCH｜多AI代理并行编排与任务调度CLI

access：来源确认 · npm install -g @oxgeneral/orch # Install

project_type：来源确认 · Run multiple AI agents on one project — without babysitting any of them.

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<p align="center">
  <strong>Open-source orchestration for zero-human companies, processes and departments.</strong><br/>
  <sub>Run multiple AI agents on one project — without babysitting any of them.<br/>Coordinate Claude, Codex, Pi, Cursor and any CLI tool in parallel. One npm install. Zero infrastructure.</sub>
</p>

<p align="center">
  <a href="https://github.com/oxgeneral/ORCH/stargazers"><img src="https://img.shields.io/github/stars/oxgeneral/ORCH?style=for-the-badge&color=f59e0b&labelColor=0a0a0a" alt="GitHub Stars" /></a>&nbsp;
  <a href="https://www.orch.one/"><img src="https://img.shields.io/badge/website-orch.one-f59e0b?style=for-the-badge&labelColor=0a0a0a" alt="Website" /></a>&nbsp;
  <a href="https://www.npmjs.com/package/@oxgeneral/orch"><img src="https://img.shields.io/npm/v/@oxgeneral/orch?style=for-the-badge&color=f59e0b&labelColor=0a0a0a" alt="npm" /></a>&nbsp;
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</p>

<br/>

<p align="center">
  <a href="#you-hired-ai-agents-now-youre-managing-them-full-time">Problem</a> &bull;
  <a href="#start-coordinating-agents-in-30-seconds">Install</a> &bull;
  <a href="#claude-code-integration">Claude Code</a> &bull;
  <a href="#how-your-ai-team-works">How It Works</a> &bull;
  <a href="#why-founders-choose-orch">Features</a> &bull;
  <a href="#headless-daemon--cicd">Serve</a> &bull;
  <a href="#pre-built-teams--start-with-a-proven-setup">Templates</a> &bull;
  <a href="#full-cli-reference">CLI</a> &bull;
  <a href="#architecture">Architecture</a> &bull;
  <a href="#faq">FAQ</a>
</p>

```bash
npm install -g @oxgeneral/orch      # Install
cd ~/your-project && orch           # Launch TUI
```

<br/>

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<p align="center">
  <em>Set a goal at 10pm. Five agents decompose, implement, test, and review. You wake up to pull requests.</em>
</p>

<br/>

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<br/>

## You hired AI agents. Now you're managing them full-time.

You bought Claude, Codex, maybe Cursor. Each one is powerful alone. But your actual job isn't "use AI tools" — it's **ship a product at the speed of a full team, while being one person.**

Here's what that looks like today:

- You open 3 terminals. Copy-paste context between them. Forget which agent is doing what.
- One agent edits a file another is working on. Merge conflict. You fix it manually.
- An agent crashes at 2am. You don't notice until morning. Half a night wasted.
- You spend **40-60% of your time routing agents** instead of building your product.

**You're not the founder. You're the bottleneck.**

<br/>

## What if your agents coordinated themselves?

```
$ orch org deploy startup-mvp --goal "Implement user auth with OAuth2"

  ✓ Deployed team "platform" — 5 agents
    CTO (claude)       → Decomposing goal into tasks...
    Backend A (claude)  → Waiting for tasks
    Backend B (codex)   → Waiting for tasks
    QA (codex)          → Waiting for tasks
    Reviewer (claude)   → Waiting for reviews

  ✓ CTO created 6 tasks from goal

$ orch run --all --watch

  22:03  ▶ Backend A    → "Implement OAuth2 flow"         [feature/oauth]
  22:03  ▶ Backend B    → "JWT token service"              [feature/jwt]
  22:03  ▶ QA           → waiting for implementations...
  22:15  ✓ Backend B    DONE  (12m · 4,200 tokens)
  22:15  ▶ QA           → "Test JWT service"               [test/jwt]
  22:22  ✓ Backend A    DONE  (19m · 8,100 tokens)
  22:24  ↻ QA           RETRY  attempt 2/3
  22:28  ✓ QA           DONE  (6m · 2,800 tokens)
  22:29  ▶ Reviewer     → "Review OAuth2 implementation"
  22:33  ✓ Reviewer     DONE  → all tasks in review

  → You went to sleep at 22:05.
  → You wake up to 6 tasks in review. Approve. Merge. Ship.
```

<p align="center"><strong>One goal. Five agents. Six PRs. Zero tab-switching. $4.20 in tokens.</strong></p>

<br/>

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<br/>

## Start coordinating agents in 30 seconds

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<br/>

That's it. ORCH auto-initializes and opens the TUI dashboard. Add agents, set goals, and run — right from there.

### Claude Code integration

After install, the `/orch` skill is automatically available in **Claude Code**. Just type `/orch` and describe what you need in natural language:

```
/orch deploy a team to refactor the auth module and add tests
```

Claude will translate your intent into the right `orch` commands — create agents, tasks, goals, and run the orchestration. No need to memorize CLI flags.

Or deploy a pre-built team:

```bash
orch org deploy startup-mvp --goal "Build invoicing SaaS with Stripe"
orch run --all --watch
```

### System requirements

<table>
<tr>
<td width="50%" valign="top">

**Minimum** 
1-2 agents

| | |
|---|---|
| **OS** | macOS, Linux, WSL2 |
| **CPU** | 2 cores |
| **RAM** | 4 GB |
| **Disk** | 300 MB |
| **Node.js** | >= 20 |

</td>
<td width="50%" valign="top">

**Recommended** — full department
4-6 agents

| | |
|---|---|
| **OS** | macOS, Linux, WSL2 |
| **CPU** | 4+ cores |
| **RAM** | 8 GB |
| **Disk** | 1 GB |
| **Node.js** | >= 20 |

</td>
</tr>
</table>

<p align="center">No database. No cloud. No Docker. No GPU — LLMs run via API, not locally.</p>

### Your code is safe

> **Every agent works in an isolated git worktree.** Your `main` branch is never touched until you explicitly approve and merge. Mandatory review step in the state machine — no code ships without your OK. Agents can't overwrite each other's work.

<details>
<summary><strong>Why does each agent need ~300 MB?</strong></summary>

<br/>

ORCH itself is lightweight (~120 MB). The RAM goes to the **agent CLI processes** that ORCH spawns — each is a separate Node.js/Python runtime:

| Agent process | RAM per instance | Why |
|---------------|-----------------|-----|
| Claude Code CLI | 200-400 MB | Full Node.js runtime + context window |
| OpenCode | 200-400 MB | Node.js + provider SDK |
| Codex CLI | 150-300 MB | Python runtime + OpenAI SDK |
| Pi coding agent | 200-400 MB | Node.js runtime + Pi tools/extensions |
| Cursor CLI | 200-400 MB | Electron-based agent |
| Shell scripts | 10-50 MB | Depends on the tool |

**Formula:** `120 MB (ORCH) + N × ~300 MB` per concurrent agent.
2 agents ≈ 0.7 GB, 4 agents ≈ 1.3 GB, 6 agents ≈ 2 GB.

</details>

<br/>

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<br/>

## How your AI team works

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<tr>
<td width="50%" valign="top">

### CTO — strategic decomposition

Set a high-level goal. Your CTO agent decomposes it into concrete tasks, assigns priorities, and delegates to the right departments. You set strategy — AI executes.

### Engineering Department — parallel execution

Backend A, Backend B, Frontend — each agent gets its own git worktree (isolated branch). They work in parallel without file conflicts. Failed? Auto-retry with exponential backoff. Stalled? Zombie detection kills and re-queues.

</td>
<td width="50%" valign="top">

### QA Department — automated verification

QA agents pick up completed work, run tests, validate contracts. Reject with feedback → task goes back to engineering with your notes. The loop closes automatically.

### Inter-department communication

Agents talk to each other — direct messages, team broadcasts, shared context store. Backend finishes auth module → sends message to QA → QA starts testing. No copy-paste. No manual routing.

</td>
</tr>
</table>

### Code Review — mandatory quality gate

Nothing touches `main` until reviewed. Every task flows through the state machine:

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Every transition validated. No task gets lost. No code merges without approval.

<br/>

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<br/>

## Not just engineering

ORCH orchestrates **any process** — not just code. The shell adapter runs any CLI tool, which means any workflow becomes an automated pipeline:

| Department | Agents | What they do |
|-----------|--------|-------------|
| **Engineering** | Claude, Codex, Pi, Cursor | Write code, fix bugs, refactor |
| **Editorial** | Claude (writer), Claude (editor), Shell (grammarly) | Write articles, edit, check grammar, publish |
| **Sales Ops** | Shell (CRM scripts), Claude (copywriter), Shell (email sender) | Generate leads, write sequences, send outreach |
| **Analytics** | Shell (pandas, duckdb), Claude (analyst), Shell (matplotlib) | Clean data, compute KPIs, generate reports |
| **Content Factory** | Claude (strategist), Claude (writer x2), Claude (SEO) | Plan content calendar, write posts, optimize |
| **Security** | Shell (Semgrep, Trivy, Gitleaks), Claude (hunter) | Scan code, correlate findings, auto-fix |
| **DevOps** | Shell (terraform, kubectl), Claude (architect) | Plan infra changes, apply, verify |

Every department gets the same superpowers: state machine governance, retry, messaging, isolation, review gate.

<br/>

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<br/>

## Why founders choose ORCH

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<br/>

### Works with every tool — AI or not

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<br/>

The `shell` adapter is the key: **if it runs in a terminal, it's an agent** — `npm test`, `python bot.py`, Semgrep, `curl`, CRM scripts, data pipelines. Any CLI tool gets state tracking, retry, and coordination for free.

```bash
orch agent add "Test Runner" --adapter shell --command "npm test"
```

<br/>

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<br/>

## Pre-built teams — start with a proven setup

Deploy a full team with one command:

**Engineering**

| Template | Agents | What it does |
|----------|--------|-------------|
| `startup-mvp` | CTO, Backend x2, Frontend, QA, Reviewer | Ship an MVP in 48 hours |
| `pr-review-corp` | Security, Performance, Style, QA, CTO | Automated review for every PR |
| `migration-squad` | CTO, Migrator x3, QA, Reviewer | JS-to-TS migration over a weekend |
| `security-dept` | Lead Auditor, Scanner, Secrets Auditor, Hunter, Reviewer | Multi-layer security audit |
| `test-factory` | Coverage Lead, Backend x2, QA x2, Reviewer | Coverage from 40% to 80% overnight |
| `bugfix-dept` | Triager, Fixer x3, QA, Reviewer | 100 issues to 0 in a week |

**Non-Engineering**

| Template | Agents | What it does |
|----------|--------|-------------|
| `content-agency` | Strategist, Writer x2, Editor, SEO | Content factory: plan, write, edit, optimize |
| `data-lab` | Lead Analyst, Data Engineer | 3 CSVs → executive report by morning |
| `sales-machine` | Sales Director, SDR x2, Copywriter, Growth Analyst | Outbound pipeline: research, outreach, follow-up, close |
| `docs-team` | Docs Lead, Writer x2, Editor, Reviewer | Technical docs from codebase analysis |

```bash
orch org list                                    # See all teams
orch org deploy startup-mvp                      # Deploy the default
orch org deploy startup-mvp --goal "Build X"     # Deploy with a goal
orch org export my-team                          # Save your setup as template
```

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<br/>

## Headless daemon & CI/CD

Run ORCH on a server 24/7 — no terminal, no TUI. Structured JSON logs for Datadog, Grafana Loki, or `jq`.

```bash
# Daemon mode — runs forever, picks up new tasks automatically
orch serve

# CI/CD mode — process current tasks and exit
orch serve --once        # exit 0 = all done, exit 1 = has failures
```

### Options

| Flag | Description | Default |
|------|-------------|---------|
| `--once` | Process all todo tasks and exit | watch mode |
| `--tick-interval <ms>` | Override polling interval | 10000 |
| `--log-file <path>` | Tee logs to a file (append) | stdout only |
| `--log-format json\|text` | Output format | json |
| `--verbose` | Include `agent:output` events | off |

### Structured logs

Every event is a single JSON line — pipe to any log aggregator:

```json
{"ts":"2026-03-17T03:00:10.000Z","level":"info","event":"agent:started","agentId":"agt_abc","taskId":"tsk_123","runId":"run_xyz"}
{"ts":"2026-03-17T03:12:45.000Z","level":"info","event":"task:status_changed","taskId":"tsk_123","from":"in_progress","to":"review"}
{"ts":"2026-03-17T03:12:46.000Z","level":"info","event":"orchestrator:tick","running":0,"queued":2,"heap_mb":142}
```

### Deploy with pm2 or systemd

<details>
<summary><strong>pm2</strong></summary>

```bash
pm2 start "orch serve" --name orch-daemon --cwd ~/my-project
pm2 logs orch-daemon     # structured JSON logs
pm2 stop orch-daemon     # SIGINT → graceful shutdown
```

</details>

<details>
<summary><strong>systemd</strong></summary>

```ini
[Unit]
Description=ORCH AI Agent Daemon
After=network.target

[Service]
Type=simple
WorkingDirectory=/home/user/my-project
ExecStart=/usr/local/bin/orch serve
Restart=on-failure
RestartSec=10

[Install]
WantedBy=multi-user.target
```

</details>

### How it works

- **Watch mode** (default): tick loop runs indefinitely. Add tasks from another terminal (`orch task add`) — daemon picks them up on the next tick.
- **Once mode** (`--once`): processes all existing todo tasks, skips autonomous task seeding, exits when everything reaches a terminal status.
- **Lock protection**: only one orchestrator per project (reuses `.orchestry/orchestry.lock`). Second `orch serve` exits with a clear error.
- **Graceful shutdown**: SIGINT/SIGTERM → stops accepting new tasks → waits for running agents → saves state → releases lock.
- **Heap monitoring**: every tick logs `heap_mb` — catch memory leaks before OOM.
- **Idle throttling**: logs every 6th idle tick (~60s) to avoid flooding logs when nothing is happening.

<br/>

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<br/>

## Full CLI reference

<details>
<summary><strong>Setup & Diagnostics</strong></summary>

```bash
orch init                          # Initialize project
orch doctor                        # System diagnostics
orch update                        # Check for updates
```

</details>

<details>
<summary><strong>Departments & Agents</strong></summary>

```bash
orch agent add <name> --adapter claude --role "CTO — decomposes goals"
orch agent list                    # Status of all agents
orch agent disable/enable <id>     # Toggle availability
```

</details>

<details>
<summary><strong>Organization Templates</strong></summary>

```bash
orch org list                      # List available companies
orch org deploy <template>         # Deploy a full department
orch org deploy <template> --goal "..." # Deploy with a goal
orch org export <name>             # Export current setup
```

</details>

<details>
<summary><strong>Tasks</strong></summary>

```bash
orch task add "Title" -p 1         # Create task (priority 1-4)
orch task list                     # List all tasks
orch task assign <task> <agent>    # Manual assignment
orch task cancel <task>            # Cancel running task
```

</details>

<details>
<summary><strong>Teams (Departments)</strong></summary>

```bash
orch team create <name> --lead <agent-id>
orch team join <team-id> <agent-id>
orch team add-task <team-id> <task-id>
orch team disband <id>
```

</details>

<details>
<summary><strong>Goals (Strategy)</strong></summary>

```bash
orch goal add "Title" --description "..."
orch goal list
orch goal status <id> achieved
```

</details>

<details>
<summary><strong>Communication</strong></summary>

```bash
orch msg send <agent-id> "message"              # Direct message
orch msg broadcast "message" --team <team-id>   # Team broadcast
orch context set <key> <value>                  # Shared context
```

</details>

<details>
<summary><strong>Execution & Monitoring</strong></summary>

```bash
orch run --all --watch             # Launch all agents
orch run <task-id>                 # Run single task
orch serve                         # Headless daemon (JSON logs)
orch serve --once                  # CI/CD: process and exit
orch status                        # Quick overview
orch logs <run-id>                 # View run logs
orch tui                           # Command center (TUI)
orch config edit                   # Open in $EDITOR
```

</details>

<p align="center"><strong>Aliases:</strong> <kbd>orchestry</kbd> &nbsp; <kbd>orch</kbd> &nbsp; <kbd>ao</kbd></p>

<br/>

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<br/>

## Architecture

ORCH is an engine first, CLI second. The core has zero dependencies on CLI/TUI layers — you can import `@oxgeneral/orch` as a library and build your own interface.

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<br/>

<details>
<summary><strong>Directory structure</strong></summary>

```
src/
├── domain/           # Models, state machine, errors
├── application/      # Orchestrator engine, services, event bus
├── infrastructure/
│   ├── adapters/     # Claude, OpenCode, Codex, Pi, Cursor, Grok, Antigravity, Shell
│   ├── storage/      # File-based (YAML/JSON/JSONL)
│   ├── process/      # PID management, graceful kill
│   ├── template/     # LiquidJS prompt templates
│   └── workspace/    # Git worktree isolation
├── cli/              # Commander.js commands
└── tui/              # Ink + React command center
```

</details>

<br/>

## Development

```bash
npm run dev            # Run via tsx
npm run build          # Build ESM + DTS
npm test               # 1954 tests via Vitest
npm run typecheck      # Strict TypeScript
```

<br/>

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<br/>

## Community

If ORCH saves you time — **[Star it on GitHub](https://github.com/oxgeneral/ORCH)** — it helps other founders find the project.

- **Open an issue** if something breaks or could be better
- **Submit a PR** — see [CONTRIBUTING.md](CONTRIBUTING.md)

<br/>

## Ship something with ORCH?

> Using ORCH on a real project? [Share your setup](https://github.com/oxgeneral/ORCH/issues/new?title=Using+ORCH&body=Tell+us+about+your+setup) — we'd love to hear how it went.

<br/>

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<br/>

## FAQ

<details>
<summary><strong>Do I need a team to use ORCH?</strong></summary>

<br/>

No. **Solo founders are the primary users.** You + 2 agents is already a zero-human company. ORCH gives you auto-retry, state machine, dashboard, and token tracking even with a single agent. Start with one, scale to departments.

</details>

<details>
<summary><strong>Will agents mess up my codebase?</strong></summary>

<br/>

No. Every agent works in an isolated git worktree on its own branch. Nothing touches `main` until you explicitly approve. Mandatory review step in the state machine. Scope overlap detection prevents conflicts before they happen.

</details>

<details>
<summary><strong>Is this only for engineering?</strong></summary>

<br/>

No. The shell adapter runs any CLI tool — which means ORCH orchestrates any process. Engineering, editorial, sales, analytics, security, DevOps. **If it runs in a terminal, it's an employee.** Deploy `content-agency`, `data-lab`, or `sales-machine` with one command.

</details>

<details>
<summary><strong>How much does it cost?</strong></summary>

<br/>

ORCH is open-source (MIT license). You pay only for the AI APIs you already use — Claude, Codex, etc. The TUI shows token costs per agent per run in real-time. Example: 5 agents, 6 tasks — **$4.20 in tokens**. No surprise bills.

</details>

<details>
<summary><strong>What AI tools does it support?</strong></summary>

<br/>

Eight adapters: **Claude Code**, **OpenCode** (Gemini, DeepSeek, any OpenRouter model), **Codex**, **Pi**, **Cursor**, **Grok**, **Antigravity**, and **Shell** (any CLI tool). Your API keys, your tools — ORCH coordinates them.

</details>

<details>
<summary><strong>Can I run agents 24/7 on a server?</strong></summary>

<br/>

Yes. `orch serve` runs the orchestrator as a headless daemon — no TUI, structured JSON logs to stdout. Deploy with pm2, systemd, or any process manager. Add tasks from another terminal or machine — the daemon picks them up automatically. Graceful shutdown on SIGINT/SIGTERM.

</details>

<details>
<summary><strong>Is there a cloud component?</strong></summary>

<br/>

None. Zero cloud. All state in `.orchestry/` — plain YAML, JSON, JSONL files. No signup, no account, no data leaves your machine.

</details>

<details>
<summary><strong>How is this different from Paperclip?</strong></summary>

<br/>

Paperclip needs PostgreSQL, a web server, and cloud setup. ORCH needs `npm install`. Same vision — zero-human companies — but ORCH is the hacker's version: terminal-first, file-based, zero infrastructure, MIT licensed.

</details>

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<p align="center">
  <a href="LICENSE"><strong>MIT</strong></a> — build whatever you want.<br/>
  <sub>This is how zero-human engineering teams start.</sub>
</p>

<br/>

Node.js ≥ 20；操作系统为 macOS、Linux 或 WSL2（原生 Windows 未说明，待核验）；最低约 2 核 CPU、4 GB 内存，每个并发代理额外约 300 MB 内存；需自备所接入 AI CLI 工具（如 Claude Code、Codex、Cursor 等）及其 API Key；ORCH 本身以 MIT 开源，AI API 费用由供应商收取，具体价格待向官方核验；MCP 与服务端配置资料缺失，待核验。