本仓库是 andrewyng/openworker 的中文汉化二次开发版，由 重庆投肯智能科技有限公司 维护，遵循原项目 MIT 许可证。
相对官方原版的改动（其余完全一致）：
- 核心界面全量汉化：引导、设置、侧边栏、审批卡、收件箱、模型配置等；
- 新增「自定义 API」厂商：任意 OpenAI 兼容端点（base_url + Key），支持一键获取模型列表与测试连接；
- 新增「阶跃星辰 StepFun」厂商：默认中国区端点
api.stepfun.com/v1。Windows 安装包下载（汉化版 exe/msi）：见本仓库 Releases（
zh-开头的 tag）。 安装包未签名（与官方原版相同状态），SmartScreen 提示时选「更多信息 → 仍要运行」。要官方英文原版请前往上游仓库。以下为官方原版 README 原文。
openworker.com · Download · Issues
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.
⬇ 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.
- 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."
- It breaks the task into steps and works across your desktop, files, and connected apps.
- Before anything consequential - sending a message, changing a calendar, running a command - it checks in and you approve or redirect.
- 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
└───────────────┴────────────────┴───────────────┘
- Produce real deliverables - documents, spreadsheets, reports, and web pages land as files you can open and share.
- Work from Slack - mention
@OpenWorkerin 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.
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.
A curated model list marks what we've verified for tool-calling work. Adding any model string works at your own risk.
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.
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 portThe 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.
To run the full desktop app instead of the browser UI, replace step 3 with npm run tauri dev (from surfaces/gui/) - the Tauri shell launches the window and supervises the server itself.
Tests: .venv/bin/pytest (server), npm test and npm run e2e in surfaces/gui (GUI unit + hermetic end-to-end). Desktop bundles are built with packaging/build_dmg.sh / packaging/build_windows.ps1.
| 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 |
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.
OpenWorker was originally developed inside the aisuite repository before moving to its own home here; thanks to the aisuite contributors whose work it builds on.
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. We will shortly add features that you can contribute to. Please note that we are actively developing based off a internal list and goal, so we may not approve PRs that add features that are already under-development or deviates from our vision.
MIT - see LICENSE.