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LobsterAI

LobsterAI

MCP.Pizza Chef: netease-youdao

This desktop application works directly with your files, folders, and web browser to get real work done, such as building a dashboard from a spreadsheet, turning research into a slide presentation, or screening a folder of documents. You can set up recurring jobs, like a daily news summary, and reach your assistant remotely through messaging apps including WeChat, Telegram, DingTalk, and Feishu. It installs on macOS and Windows, remembers your preferences between sessions, and can connect to extra tools and data sources for specialized tasks.

Files/PDF
Spreadsheets
Web/Research

Use This MCP client To

Build a dashboard from my spreadsheet and explain the trends Turn research into a slide presentation automatically Screen a folder of resumes against a job description Check my ad dashboard each morning for problems Get a daily news digest sent to my phone Build a simple system to track inventory and profit Send it commands and questions from a messaging app

README

LobsterAI
LobsterAI

GitHub stars License Follow LobsterAI on X Follow LobsterAI on X
Supported platforms: macOS and Windows Electron 40 React 18

English · 中文

All-scenario office assistant Agent.
The first open-source desktop-grade Agent among major Chinese tech companies, built by NetEase Youdao.

Features  ·  Developing  ·  Community

Download LobsterAI

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LobsterAI is a desktop Agent that can operate in your real working environment: local files, terminal commands, browser workflows, documents, spreadsheets, slides, IM channels, scheduled jobs, and project workspaces.

Cowork is the LobsterAI product/session layer. OpenClaw is the runtime and gateway underneath it. That split lets LobsterAI keep local persistence, permissions, UI state, artifacts, agents, memory, and IM bindings in the desktop app while using OpenClaw for agent execution.

Features

Desktop Cowork Sessions

Run long-form Agent tasks against local projects and files. LobsterAI streams progress, keeps session history, renders tool output, and asks for approval before sensitive actions such as file operations, terminal commands, or network access.

Multi-Agent Workflows

Create custom Agents with their own identity, model choice, skills, working directory, enabled state, and IM bindings. Keep the Main Agent for general work and use specialized Agents for repeatable roles.

Expert Kits

Install scenario-oriented Expert Kits that package capability selections and references for common workflows. Kits are selected independently from direct skills, so a workflow can combine curated kits with individual tools.

Skills

LobsterAI ships with 28 built-in skills configured in SKILLs/skills.config.json, including web search, Word documents, spreadsheets, PowerPoint, PDF processing, Remotion video generation, browser automation, image/video generation, stock research, content writing, email, weather, and skill creation.

MCP Servers

Connect external tools and data sources through Model Context Protocol servers. LobsterAI stores user-configured servers locally and syncs enabled servers into OpenClaw.

Scheduled Tasks

Create recurring work either by conversation or through the scheduled task UI. Use it for daily news digests, inbox summaries, website monitoring, weekly reports, and other repeatable work.

IM Remote Control

Reach your desktop Agent from WeChat, WeCom, DingTalk, Feishu/Lark, QQ, Telegram, Discord, NetEase IM, NetEase Bee, POPO, and email. Multi-instance platforms can bind different accounts or channels to different Agents.

Rich Artifacts

Preview and manage generated HTML, SVG, images, video, Mermaid diagrams, code, Markdown, text, documents, and local service artifacts inside the desktop app.

Local Memory And Data

Sessions and app data live locally in SQLite. OpenClaw workspace memory uses files such as MEMORY.md, USER.md, SOUL.md, and daily notes, so durable preferences and project context can carry across sessions.

Real-World Prompts

Scenario Example prompt
Build a local system "I still track inventory and sales in Excel. Build a local inventory system that records purchases and sales, calculates stock and profit, and opens in my browser."
Analyze local data "Use product-growth.xlsx to build a visual dashboard and summarize the main growth drivers."
Generate a deck "Research the AI Agent market and turn the findings into a presentation."
Automate browser checks "Open the ads dashboard every morning, check spend and conversion anomalies, and summarize likely causes."
Screen documents "Turn the resumes in this folder into a screening sheet and shortlist the strongest candidates against the JD."
Run scheduled work "Every weekday at 9 AM, collect yesterday's AI news and send me a concise digest."

How It Works

LobsterAI architecture

  • Renderer: React, Redux Toolkit, Tailwind, artifact renderers, settings, agent/session UI, skills, MCP, scheduled tasks, and IM configuration.
  • Main process: Electron lifecycle, IPC, SQLite persistence, auth, logging, OpenClaw startup, runtime repair, skill sync, IM gateways, and artifact services.
  • OpenClaw integration: openclawEngineManager, openclawConfigSync, openclawRuntimeAdapter, and coworkEngineRouter translate LobsterAI state into OpenClaw runtime behavior.

Install

Desktop

Download the latest macOS and Windows installers from Official Website or GitHub Releases.

Run From Source

Requirements:

  • Node.js >=24.15.0 <25
  • npm
git clone https://github.com/netease-youdao/LobsterAI.git
cd LobsterAI
npm install

First development run:

npm run electron:dev:openclaw

Daily development after the pinned OpenClaw runtime exists:

npm run electron:dev

The renderer dev server runs at http://localhost:5175.

Developing

# Production renderer bundle
npm run build

# Electron main/preload TypeScript build
npm run compile:electron

# Official Vitest entry used by CI
npm test

# Full ESLint across src; may expose existing legacy debt
npm run lint

# CI-style lint for touched TypeScript files
npx eslint --ext ts,tsx --report-unused-disable-directives --max-warnings 0 <files>

OpenClaw Runtime

The pinned OpenClaw version and third-party plugin list live in package.json under openclaw.

# Build the current-platform runtime manually
npm run openclaw:runtime:host

# Use a custom OpenClaw source checkout
OPENCLAW_SRC=/path/to/openclaw npm run electron:dev:openclaw

# Force runtime rebuild
OPENCLAW_FORCE_BUILD=1 npm run electron:dev:openclaw

# Keep a local OpenClaw checkout on its current branch/tag
OPENCLAW_SKIP_ENSURE=1 npm run electron:dev:openclaw

Packaging

Build desktop installers 
# macOS
npm run dist:mac
npm run dist:mac:x64
npm run dist:mac:arm64
npm run dist:mac:universal

# Windows
npm run dist:win

# Linux
npm run dist:linux

Packaging bundles the OpenClaw runtime under Resources/cfmind. Windows builds also bundle a portable Python runtime under resources/python-win, so end users do not need to install Python manually.

Offline or private-source packaging can use:

  • LOBSTERAI_PORTABLE_PYTHON_ARCHIVE
  • LOBSTERAI_PORTABLE_PYTHON_URL
  • LOBSTERAI_WINDOWS_EMBED_PYTHON_VERSION
  • LOBSTERAI_WINDOWS_EMBED_PYTHON_URL
  • LOBSTERAI_WINDOWS_GET_PIP_URL

Project Map

Path Purpose
src/main/main.ts Electron lifecycle, IPC registration, auth, logging, runtime startup, and service wiring
src/main/libs/openclawEngineManager.ts OpenClaw gateway process, runtime state, ports, logs, restart, and repair
src/main/libs/openclawConfigSync.ts Renders LobsterAI providers, models, agents, IM bindings, skills, MCP, and workspace instructions into OpenClaw config
src/main/libs/agentEngine/openclawRuntimeAdapter.ts Translates OpenClaw gateway events into Cowork stream events
src/main/coworkStore.ts Cowork sessions, messages, config, agents, memory metadata, and SQLite CRUD
src/renderer/components/cowork/ Main Cowork UI, prompt input, session detail, permissions, thinking/tool display, media, and voice input
src/renderer/components/agent/ Agent creation and settings UI
src/renderer/components/skills/ Skill management UI
src/renderer/components/mcp/ MCP server management UI
src/renderer/components/scheduledTasks/ Scheduled task list, form, detail, run history, and templates
src/renderer/services/i18n.ts Renderer i18n dictionary and t() helper
SKILLs/ Bundled LobsterAI skills

Security And Data

  • Renderer windows use context isolation, disabled Node integration, and sandboxing.
  • Renderer-to-main access goes through preload IPC APIs.
  • Sensitive tool actions are permission-gated and logged.
  • App data is stored locally in lobsterai.sqlite under Electron userData.
  • OpenClaw state, workspace memory, generated config, and gateway logs live under userData/openclaw.

Community & Support

Join the WeChat group for help, feedback, and release updates:

WeChat Community QR Code

Please use the repository issue templates for bugs and feature requests. For pull requests, include a short summary, linked issue when relevant, screenshots for UI changes, and notes for Electron-specific behavior such as IPC, storage, runtime, or windowing changes.

Star History

Star History Chart

License

MIT License

Built and maintained by NetEase Youdao.

LobsterAI FAQ

Can I use this to build a presentation from my research?
Yes — describe the topic you want covered and it researches the subject and assembles a slide deck for you.
Can I use this to keep track of my business inventory?
Yes — you can ask it to build a simple system that records purchases and sales and calculates your stock and profit, without you touching a spreadsheet.
Do I need to install anything on my computer?
Yes — this is a downloadable desktop application for Mac or Windows that you install and open like any other program, rather than a plugin added to an app you already use.
Can I control it from my phone?
Yes — once it is set up on your desktop, you can send it messages and commands through WeChat, Telegram, DingTalk, or Feishu instead of sitting at your computer.
Do I need to know how to code?
No — everyday tasks are handled by describing what you want in plain language, and the app itself installs like a normal desktop program.
Which AI model does it use?
You choose the model that powers your assistant, and it can work with models from providers such as OpenAI, Anthropic's Claude, or Google's Gemini.
Can it work with the files and web browser I already use?
Yes — it can open and edit local files, browse the web, and connect to additional outside tools and data sources when a task calls for them.
Will it ask before doing something sensitive, like deleting a file?
Yes — it asks for your approval before taking sensitive actions, such as running a command or making changes to files on your computer.