Runtime otomasi local-first yang menyediakan decision layer bagi AI agent untuk mengotomatisasi tugas secara aman di GitHub, Slack, Gmail, dan 45+ layanan lainnya.
Juga dikenal sebagai Oolab-labs/patchwork-os
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- 13 Nov 2026
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Apa itu Patchwork OS MCP?
Patchwork OS adalah MCP server. Runtime otomasi local-first yang menyediakan decision layer bagi AI agent untuk mengotomatisasi tugas secara aman di GitHub, Slack, Gmail, dan 45+ layanan lainnya.
Ringkasan dibuat dari README proyek
Tentang Patchwork OS MCP server
Patchwork OS berfungsi sebagai automation runtime local-first yang dirancang untuk developer dan technical operator yang perlu mengelola AI agent yang berinteraksi dengan sistem dunia nyata. Sistem ini berfungsi sebagai decision layer yang berada di antara intent dari agent dan eksekusinya, memungkinkan pengguna untuk mengatur tindakan di GitHub, Slack, Gmail, dan lebih dari 45 layanan lainnya. Dengan mengklasifikasikan tindakan berdasarkan potensi blast radius, sistem dapat secara otomatis menjeda tugas berisiko tinggi atau yang tidak dapat dibatalkan untuk mendapatkan approval manusia.
Pengguna dapat menerapkan ini sebagai standalone IDE bridge yang menyediakan 180 MCP tools untuk editor seperti VS Code atau Cursor, atau sebagai automation runtime penuh menggunakan YAML recipes dan workers. Setup ini memerlukan Node 22.5+, terminal, dan model driver seperti Claude CLI atau API key. Meskipun runtime dan semua credentials tetap berada di mesin lokal Anda, sistem akan berkomunikasi dengan model provider pilihan Anda dan connector layanan yang telah diotorisasi. Tersedia profil yang berbeda, termasuk governed mode yang menerapkan antrean approval dan compatibility mode untuk otomasi tanpa batasan.
Apa yang bisa Anda lakukan dengannya
- 1Meninjau tindakan agent berisiko tinggiAI agent dapat dikonfigurasi untuk menjeda dan meminta izin sebelum melakukan operasi write apa pun yang tidak dapat dibatalkan.
- 2Otomatisasi sintesis informasi harianAnda dapat menjalankan recipe morning brief yang merangkum data dari Gmail, Google Calendar, GitHub, dan Linear ke dalam satu ringkasan Markdown.
- 3Mengelola level otonomi agentDeveloper dapat memberikan identitas spesifik kepada agent dan membiarkan mereka mendapatkan kemandirian lebih berdasarkan track record keberhasilan mereka.
- 4Meningkatkan kapabilitas IDE dengan MCPGunakan IDE bridge untuk menyediakan AI assistant dengan tools khusus untuk diagnostik, refactoring, dan akses terminal.
Ditulis berdasarkan README proyek. Setiap use case diperiksa terhadap kutipan dari README tersebut.
Cara menginstal Patchwork OS MCP
Format diverifikasi 10 Nov 2026Tambahkan ke CursorTambahkan ke GooseInstal Patchwork OS MCP di Claude Code
$ claude mcp add patchwork-os -- npx -y patchwork-osInstal Patchwork OS MCP di Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"patchwork-os": {
"command": "npx",
"args": [
"-y",
"patchwork-os"
]
}
}
}Instal Patchwork OS MCP di VS Code
.vscode/mcp.json
{
"servers": {
"patchwork-os": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"patchwork-os"
]
}
}
}Instal Patchwork OS MCP di VS Code CLI
$ code --add-mcp '{"name":"patchwork-os","type":"stdio","command":"npx","args":["-y","patchwork-os"]}'Instal Patchwork OS MCP di Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"patchwork-os": {
"command": "npx",
"args": [
"-y",
"patchwork-os"
]
}
}
}Instal Patchwork OS MCP di Codex
$ codex mcp add patchwork-os -- npx -y patchwork-osInstal Patchwork OS MCP di Codex config.toml
~/.codex/config.toml
[mcp_servers.patchwork-os] command = "npx" args = ["-y", "patchwork-os"]
Instal Patchwork OS MCP di Gemini CLI
$ gemini mcp add -s user patchwork-os npx -- -y patchwork-osInstal Patchwork OS MCP di Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"patchwork-os": {
"command": "npx",
"args": [
"-y",
"patchwork-os"
]
}
}
}Pengecekan otomatis
Berjalan 13 Nov 2026Laporan lengkap →Lolos checks otomatis kami. Ini bukan audit keamanan: baca kodenya dan berikan server akses paling terbatas yang dibutuhkannya. Cara kerja checks
- Source repository terhubung dan dapat dijangkauoolab-labs/patchwork-os is public and reachablegithub.com/oolab-labs/patchwork-os ↗Lolos
- Nama paket mencantumkan repositori ini sebagai sumbernyapatchwork-os names oolab-labs/patchwork-os as sourcenpmjs.com/package/patchwork-os ↗Lolos
- Provenance build (atestasi Sigstore)Sigstore attestation for patchwork-osnpmjs.com/package/patchwork-os/v/1.2.7#provenance ↗Lolos
- Lisensi open source (OSI)MITspdx.org/licenses/MIT.html ↗Lolos
- Ada commit atau release dalam satu tahun terakhirLast commit or release 2026-11-13github.com/oolab-labs/patchwork-os ↗Lolos
- OpenSSF ScorecardTidak diperiksa
- Nama package tidak mirip dengan package populerNo popular package one edit away from patchwork-osLolos
- Tidak ada advisory kritis pada paket atau dependensinyaTidak diperiksa
- Tidak ada instruksi tersembunyi untuk model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersLolos
- Tools yang bersifat destruktif telah diberi labelTidak diperiksa
- Endpoint remote merespons handshake MCPTidak diperiksa
README
Lihat di GitHubPatchwork OS
You don't have an automation problem. You have a decision problem.
Every AI-agent horror story ends the same way: an action nobody stopped to question. Patchwork OS is the layer between the agent's impulse and the action — a local-first runtime where your AI can automate real work across your editor, GitHub, Slack, Gmail, and 45+ services, while anything consequential can be made to stop and ask you first.
Who it's for: developers and technical operators who already run agents against real systems — a repo that ships, an inbox that matters, a production service — and who want a record of what was allowed and why. It expects a terminal, a Node install, and comfort editing YAML.
Three ideas, one runtime:
-
Ask before acting. Every action is classified by blast radius — can it be undone, and how much breaks if it's wrong? Reversible things flow freely. Risky things wait in an approval queue with the evidence attached: what exactly will run, why it fired, and what happens if it's wrong.
-
Trust is earned, never assumed. Workers — named agents with jobs — start supervised and earn independence from their track record, per action type. Good at filing issues ≠ allowed to push code. One bad high-stakes action outweighs a hundred trivial successes. You set the ceiling; the math never raises it for them.
-
Every decision leaves a receipt. What was done, why it was allowed, and how it turned out — durable, replayable, explainable via
patchwork judgments, the dashboard's traces page, andpatchwork gate explain. When you approve something, you find out later whether you were right.
An agent wants to write a file. With the gate on, it waits — and shows you exactly what it would do:

You approve. The call proceeds, and both halves are on the record:

Status: stable 1.2
Version 1.2.6, published to npm as latest. The decision layer, recipes, connectors and IDE bridge all work and are dogfooded daily. Interfaces can still change between minor versions and some surfaces are rougher than others. Pin an exact version if you are building on it.
Whether the safety features are on depends on how you installed. This matters more than any other line in this README:
- New install:
patchwork-os initon a machine with no~/.patchwork/config.jsonwritesprofile: governed. The gate is on from the first run. - Existing install: upgrading never changes your profile. An existing config stays as it is; opt in with
patchwork profile governedand restart the bridge. - No config at all (starting the bridge without
init): thecompatprofile, where nothing is gated.
Run patchwork doctor to see what is enforced on your machine right now. Trust its output over this table.
| Feature | governed (new init) |
compat (existing config, or none) |
|---|---|---|
| Approval queue | on at high, for automated triggers (cron, webhook, file-watch, git-hook) as well as manual runs |
off unless --approval-gate high or all, and then manual runs only |
| Non-reversible writes | ask for approval whatever their tier | follow the tier threshold |
| Agent steps | contained: read-only tools, no network or shell | full access unless a step sets sandbox: true |
Recipe plugins (servers:) |
load only if listed in plugins.allow |
any entry loads, in-process |
| A tool nothing is registered under | the run halts | the step is skipped |
Kill switch (patchwork panic) |
available; fails closed if its state is unreadable | available; fails open |
| Worker autonomy ramp | on for worker-owned recipes (runs need a driver, e.g. --driver subprocess) |
off unless PATCHWORK_FLAG_WORKER_AUTONOMY=1 (same driver requirement) |
| Telemetry | off | off; opt in explicitly (details) |
Under compat, a fresh bridge is an automation runtime, and it becomes a decision layer when you switch the gate on. Everything above about "stops and asks you first" describes the gate when it is on.
The loop
trigger → recipe/worker → reversible? → runs
→ risky, gate on → approval queue → your yes → receipt
→ risky, gate off → runs
→ forbidden by policy → refused (no approval unlocks it)
patchwork panic blocks every write-tier tool call across all running bridges, immediately. Reads keep working, and in-flight reasoning is not killed — it is a write block, not a full stop.
Install
npm install -g patchwork-os@beta
patchwork-os init
init scaffolds ~/.patchwork, seeds local-only recipes, and registers Patchwork's PreToolUse hook in ~/.claude/settings.json. Restart Claude Code afterwards — it reads hooks at session start.
Prereqs: Node 22.5+. macOS, Linux, and native Windows (no WSL).
Two things worth knowing before you start:
- Use a global install, not
npx.npxdoes not persist the binary, so the very next command in any guide will not be found. - The web dashboard is not in the npm package. It's a Next.js app that needs its own build, so it ships with the repo:
Everything below works from the CLI without it. The dashboard is where approvals, traces and connector setup are pleasant rather than possible.git clone https://github.com/Oolab-labs/patchwork-os && cd patchwork-os/dashboard npm install && npm run build && npm start # http://localhost:3200
First run: zero connectors
Prove the runtime works before wiring any service to it. daily-status touches only git and local files — no accounts, no network:
patchwork recipe run daily-status
It reads your commits since yesterday plus ~/.patchwork/planned.md, and writes a Markdown digest to ~/.patchwork/inbox/daily-status-<date>.md. If that file exists, your install is sound.
Useful neighbours: patchwork recipe list, patchwork status, patchwork recipe doctor <name> when something misbehaves.
Morning Brief: the connected workflow
patchwork-os init --with-connectors # seeds the connector-backed recipes
patchwork connect gmail
patchwork connect google-calendar
patchwork connect github
patchwork connect linear
patchwork recipe run morning-brief
The recipe pulls unread mail, today's calendar, your open GitHub issues and PRs, Linear issues, and local git activity, then has a model summarise them into one Markdown brief in ~/.patchwork/inbox/. Its email step is triage — it lists what needs an answer; it does not compose or send replies. Nothing leaves your machine except the API calls to the services you connected.
All four connectors are required as written — no step is guarded, so a missing one halts the run. Drop the steps you don't want, or start from daily-status and add sources one at a time.
Requires a working model driver (--driver subprocess with the Claude CLI on PATH, or an API key). patchwork recipe preflight templates/recipes/morning-brief.yaml lists exactly what a recipe needs before you run it.
Two ways to run this
As an automation runtime — recipes, workers, connectors, the decision layer. Needs ~/.patchwork and a model driver; an editor is optional.
patchwork start # bridge + Claude + dashboard
patchwork start launches claude --ide alongside the bridge, so it expects the Claude CLI on your PATH. Use patchwork start --no-dashboard, or run the bridge alone with patchwork --workspace ., if you don't want that.
On a global npm install there is no dashboard/ to start, so it logs a dashboard warning and carries on with bridge + Claude; pass --no-dashboard to silence it. From a repo clone it starts all three.
As a standalone IDE bridge — 180 MCP tools giving Claude Code eyes and hands in your editor: diagnostics, LSP navigation, refactoring with risk analysis, debugger, terminal, git/GitHub, file ops. No ~/.patchwork, no recipes, no gate.
npm install -g patchwork-os
claude-ide-bridge install-extension # VS Code / Cursor / Windsurf / Antigravity
claude-ide-bridge --workspace .
claude --ide # in another terminal
JetBrains via a companion plugin. Claude Desktop, Gemini CLI, Codex CLI, Grok Build, and claude.ai connect over stdio or HTTP. Use the bridge alone forever if that's all you need; the runtime is an optional layer on top.
claude --ide can't find an IDE? Set CLAUDE_CODE_IDE_SKIP_VALID_CHECK=true (init does this for you).
What "local-first" does and doesn't mean
On your machine: the runtime, every recipe and worker, all credentials and connector tokens, the approval queue, and every log and decision receipt under ~/.patchwork/. Nothing is uploaded, and no Patchwork-operated server sits in any path.
Over the network, necessarily: calls to whatever model you point it at (Anthropic, OpenAI, Google, xAI) and to every connector you authorise (Gmail, GitHub, Slack…). Prompts, and whatever context a step feeds them, go to that model provider. Choosing a local Ollama endpoint keeps inference on your machine too; connector calls still leave it, because that is what a connector is.
Only if you opt in: anonymous analytics.
Other boundaries worth knowing: runCommand executes only allowlisted commands, sendHttpRequest blocks private and loopback ranges, and file tools refuse symlink escapes out of the workspace. Remote deployments must sit behind TLS with OAuth 2.0 — see docs/remote-access.md.
What's here
-
Decision layer — approval queue · blast-radius action classes · worker trust ramp · kill switch · decision receipts
-
Automation — YAML recipes · cron/file/git/test/webhook triggers · event hooks · multi-model (Claude, GPT, Gemini, Grok, Ollama)
-
Connectors — 45+, all writes governed by your policy: GitHub, Slack, Gmail, Calendar, Drive, Linear, Jira, Sentry, Notion, Stripe, PagerDuty, Datadog, …
-
IDE bridge — 180 MCP tools · VS Code-family extension · JetBrains plugin · plugins hot-reload (write tools mid-session)
-
Oversight — web dashboard · mobile push approvals (PWA) · halts/judgments CLI · trace memory across sessions
-
Deployment — your laptop · headless VPS with OAuth 2.0 (guide) · native Windows
Recipes are plain YAML: a trigger (cron, file save, git commit, test run, or any webhook — iPhone Shortcut, Stream Deck, Home Assistant) plus steps. Share them like dotfiles, install them from the marketplace, or let the dashboard generate one from a sentence.
Workers are recipes with an identity and a track record. A worker that triages failing CI starts by only proposing ("this looks like a real break — file an issue?"). Confirm its filings were real and it earns a longer leash — for that job only. It can be demoted in one bad day. You can cap any worker permanently with one line of YAML.
Why not Zapier / an MCP server / a hosted assistant? Honest tradeoffs: documents/comparison.md.
Docs
Docs index · Platform reference · Recipes & triggers · Worker autonomy · Plugin authoring · Architecture · Windows · ADRs
Telemetry
Off by default; nothing is sent unless you opt in. If you do: aggregate counts and latencies only — never paths, prompts, file contents, arguments, or anything from ~/.patchwork/. Details & source.
Contributing & support
Issues · Discussions · CONTRIBUTING.md
⭐ If this saved you a config file or a blown deploy, a star is the only signal I get that it's helping.
MIT © Oolab Labs — what that covers · name and marks
Pertanyaan tentang Patchwork OS MCP
Bagaimana cara menambahkan Patchwork OS MCP ke Claude Code?
Jalankan claude mcp add patchwork-os -- npx -y patchwork-os di terminal Anda. Tambahkan --scope user agar tersedia di semua proyek.
Bagaimana cara menambahkan Patchwork OS MCP ke Cursor?
Buka ~/.cursor/mcp.json dan tambahkan server di bawah mcpServers, menggunakan config Cursor yang ditunjukkan di bagian instalasi di atas.
Bagaimana proses approval bekerja?
Tindakan berisiko diklasifikasikan berdasarkan blast radius dan dimasukkan ke dalam antrean approval di mana Anda dapat meninjau bukti, apa yang akan dijalankan, dan potensi dampaknya sebelum mengambil keputusan.
Apakah data saya diunggah ke server?
Tidak, runtime, recipes, workers, credentials, dan decision logs semuanya disimpan secara lokal di mesin Anda di bawah direktori ~/.patchwork/.
Apa yang terjadi jika saya perlu menghentikan semua tindakan agent segera?
Anda dapat menggunakan perintah 'patchwork panic' untuk segera memblokir setiap write-tier tool call di seluruh bridge yang sedang berjalan.