LobsterAI

Name: LobsterAI
Author: netease-youdao

Verified

Open-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real desktop and takes commands from your phone via WeChat, Feishu, DingTalk & Telegram.

5,742stars

902forks

TypeScript

Installation

# Add to your Claude Code skills
git clone https://github.com/netease-youdao/LobsterAI

Getting Started

Guides for using ai agents skills like LobsterAI.

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Getting Started with AI Skills

Security ReportVerified

Last scanned: 6/18/2026

{
  "issues": [
    {
      "file": "AGENTS.md",
      "line": 47,
      "type": "secret-exfiltration",
      "message": "Instruction appears to send credentials/secrets to an external endpoint",
      "severity": "medium"
    }
  ],
  "status": "PASSED",
  "scannedAt": "2026-06-18T08:48:19.949Z",
  "npmAuditRan": false,
  "pipAuditRan": true,
  "promptInjectionRan": true
}

README.md

Frequently Asked Questions

What is LobsterAI?

LobsterAI is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by netease-youdao. Open-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real desktop and takes commands from your phone via WeChat, Feishu, DingTalk & Telegram. It has 5,742 GitHub stars.

Is LobsterAI safe to use?

Yes. LobsterAI passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install LobsterAI?

Clone the repository with "git clone https://github.com/netease-youdao/LobsterAI" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is LobsterAI written in?

LobsterAI is primarily written in TypeScript. It is open-source under netease-youdao on GitHub, so you can review or fork the full source.

Are there alternatives to LobsterAI?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh LobsterAI against similar tools.

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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

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

# 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: