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OpenWorker (GitHub Repo)

OpenWorker (GitHub Repo)

AI GitHub
OpenWorker is an open-source, local-first desktop agent that executes tasks across your apps and files while requiring approval for sensitive actions.
What: Developed by Andrew Ng's team, OpenWorker runs on macOS and Windows, leveraging a Python backend and local integrations like Slack, GitHub, and Notion. It supports any model provider, including Ollama for local-only execution.
Why it matters: It represents the push toward 'agentic' workflows where AI doesn't just suggest content but acts as a participant in existing enterprise toolchains without needing cloud-locked platforms.
Takeaway: Download the beta from GitHub and point it at an Ollama endpoint or your API key to automate local file and calendar management.
Deep dive
  • Features a local agent server built on aisuite to manage tools and model connectors.
  • Offers 25+ integrations with common tools like Linear, Jira, and Gmail.
  • Implements an approval-gated architecture where all consequential commands require human interaction.
  • Uses the Tauri shell and React for its cross-platform desktop UI.
  • Designed for local-first privacy, keeping all agent loops and credentials on the machine.
Decoder
  • MCP (Model Context Protocol): An open standard for connecting AI assistants to systems like databases, file systems, and development tools.
  • Tauri: A framework for building cross-platform desktop applications using web technologies for the UI and Rust for the backend.
Original article

OpenWorker

Beta - OpenWorker is in open beta: fully usable, updates itself, and we're actively polishing rough edges. Issues welcome.

AI that gets your everyday tasks done. OpenWorker is an open-source AI coworker that lives on your desktop and delivers finished work, not just chat: a polished document, a Slack reply with the numbers, an updated calendar, a triaged inbox.

It runs on your machine and doesn't lock you into any model: bring your own API key for OpenAI, Anthropic, Google, or an open-weight provider, or run fully local with Ollama. Your data leaves your machine only through the model and integrations you choose.

Download

macOS (Apple Silicon) macOS 12+ · signed & notarized · auto-updates

Windows 10/11 (x64) builds are not yet code-signed, so SmartScreen will warn; signing is in progress

Open the app, add a model key (or point it at Ollama), and ask for something real.

How it works

  1. Tell OpenWorker the outcome you want - "prepare a customer brief," "untangle my calendar," "draft a report," "check where the release stands across Jira and GitHub."
  2. It breaks the task into steps and works across your desktop, files, and connected apps.
  3. Before anything consequential - sending a message, changing a calendar, running a command - it checks in and you approve or redirect.
  4. You get the finished deliverable, not a to-do list.

Under the hood:

┌────────────────────────────────────────────────┐
│              OpenWorker desktop app            │  native shell + GUI
├────────────────────────────────────────────────┤
│           local agent server (Python)          │  engine · tools · connectors - built on aisuite
├───────────────┬────────────────┬───────────────┤
│  your files   │   your tools   │  your model   │  everything runs with your keys,
│  & terminal   │ 25+ connectors │  any provider │  on your machine
└───────────────┴────────────────┴───────────────┘

What it can do

  • Produce real deliverables - documents, spreadsheets, reports, and web pages land as files you can open and share.
  • Work from Slack - mention @OpenWorker in a channel; a session opens on your desktop, the work happens with your tools, and the answer comes back as a thread reply.
  • Use your everyday tools - 25+ integrations including GitHub, Slack, Jira, Notion, Linear, HubSpot, Outlook, monday.com, Gmail, and Google Calendar, plus your terminal and local files. Any tool reachable over MCP plugs in too, with per-tool control.
  • Run on a schedule - automations for recurring work: a morning brief, a weekly report, a standing watch over a channel. Runs land in the app with full transcripts.
  • Ask before acting - writes, sends, and shell commands are approval-gated. Unattended runs park their asks in an inbox instead of acting on their own.

Bring your own model

Model access is yours: pick a provider, paste your key, switch anytime. Supported out of the box:

OpenAI · Anthropic · Google Gemini · Inkling (Thinking Machines) · GLM (Z.ai) · DeepSeek · Kimi (Moonshot) · Qwen · MiniMax · Mistral · Grok (xAI) - plus open-weight models via Together and Fireworks, and fully local models via Ollama.

Privacy

OpenWorker is local-first. Everything lives on your machine: the agent loop, your conversations, connector tokens, and model keys - all in the app's local secret store. The only cloud piece is a small service that brokers OAuth handshakes for connectors. You can always use the App without signing-in - use the connectors via manually-created credentials/API-keys.

Run from source

Prerequisites: Python 3.10+, Node 20+, and (for the desktop shell) the Rust toolchain via rustup.

git clone https://github.com/andrewyng/openworker
cd openworker

# 1. One-time bootstrap - creates the Python venv at .venv
#    (on Windows, run from Git Bash or WSL)
bash packaging/setup_dev_env.sh

# 2. Start the local agent server
.venv/bin/openworker-server --cwd ~/some/project --port 8765
#    (Windows: .venv\Scripts\openworker-server.exe)

# 3. In a second terminal, start the UI
cd surfaces/gui
npm install
npm run dev        # browser UI on the Vite dev port

The standalone server creates a per-launch token at <state-dir>/sidecar-8765.token; Vite reads that user-only file when it starts. For direct API calls, send its value in the X-OpenWorker-Token header. The desktop app uses an in-memory launch token instead and never writes it to disk.

Repository layout

Directory What's in it
coworker/ Python backend - agent engine, model providers, connectors, MCP client, memory, automations
surfaces/gui/ Desktop app - React UI + Tauri shell that supervises the server
stt/ Speech-to-text sidecar (Rust) for voice input
packaging/ Installer builds (macOS DMG, Windows), auto-update manifest, dev bootstrap
docs/ Design specs and decision logs
tests/ Backend test suite

Built on aisuite

OpenWorker's engine is built on aisuite, a lightweight Python library providing a unified chat-completions API across LLM providers and an agents layer with tools, toolkits, and MCP support. If you want to build your own agent harness rather than use ours, start there; this repo is a working reference for what aisuite can carry.

Contributing

Contributions and bug reports are welcome - open an issue or a pull request. The app updates itself, so fixes reach installs quickly. For any PR, please attach screenshots of what was broken and how it is fixed now.

License

MIT

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