LobsterAI

From public sources

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.

ApplicationCategory: Desktop Apps · Development · Internet & communication · Office & notes · UtilitiesOpen sourcedata checked Oct 15, 2026

Overview

  • agent
  • ai-agent
  • ai-assistant
  • automation
  • autonomous-agents
  • chatbot
  • copilot
  • cross-platform
  • desktop-app
  • electron

Installation

Commands are shown, never run by the marketplace. Check them against the official documentation.

Compatibility

Unknown means no evidence was found — not that the product is incompatible.
PlatformStatusArchitectureEvidenceConfidence
WindowsCompatiblex86_64official build in release 2026.10.23: LobsterAI--win-x64.exe0.70
macOSCompatiblearm64official build in release 2026.10.23: LobsterAI--mac-arm64.dmg0.70
Compatiblex86_64official build in release 2026.10.23: LobsterAI--mac-x64.dmg0.70
LinuxUnknown———

Releases

checked Oct 29, 2026
v2026.10.23LatestOct 23, 2026Official source ↗

Files in 2026.10.23

The marketplace does not host these files: downloads go to the official source. Files have not been scanned by us.
FilePlatformSizeSHA-256Download from the official source
LobsterAI--mac-arm64.dmgmacos · arm64 · dmg406.5 MBb60cd42c2cf2…Official source ↗
LobsterAI--mac-x64.dmgmacos · x86_64 · dmg413.6 MBb522d373fa22…Official source ↗
LobsterAI--win-x64.exewindows · x86_64 · exe332.4 MB556450de5302…Official source ↗
SHA256SUMSchecksums269 B76715b2f3f30…Official source ↗

Release history

Quality profile

algorithm quality-v1.0 · assessed Oct 15, 2026
Quality Score99
Risk Score0
Confidence 1.00
Quality Score and Risk Score are different measures. A high score does not guarantee safety.

Score components

Maintenance · 2020
last activity 0 days ago
Documentation · 1515
README 17329 chars, description present
Ready to use · 1515
install instructions: yes; releases: yes
Metadata · 1010
4/4 of description, homepage, license, topics
Releases · 1010
10 release(s), latest 2 days ago
Category confidence · 1010
classifier confidence 0.97
Adoption · 109
6114 stars (log-dampened, 10k = max)
License clarity · 55
SPDX MIT
Community · 55
issues enabled, 979 forks

License

MIT
Known licensefrom the repository host

This is the catalog policy status, not legal advice.

Sources

github.com/netease-youdao/LobsterAIPrimary★ 6,114 starslast activity Oct 15, 2026Primary repository · Confidence 1.00

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README

From netease-youdao/LobsterAI · license MIT · fetched Oct 29, 2026

LobsterAI

The open-source desktop AI agent that does real work on your computer.

Describe a task in plain language. LobsterAI reads your files, runs tools, drives a browser, edits Office documents, and hands back finished work — at your desk or from your phone.

English · 简体中文

Why LobsterAI

Most AI assistants stop at an answer. LobsterAI is built to finish the job.

  • It works where your work lives. Point it at a folder and it reads spreadsheets, writes documents, runs scripts, and browses the web, asking before anything sensitive.
  • You see the result, not just a reply. Web pages, charts, images, videos, PDFs, and Word, Excel, and PowerPoint files open in a side panel, ready to edit or share.
  • It keeps working when you step away. Schedule recurring jobs, or message your desktop agent from WeChat, Feishu, DingTalk, Telegram, and more.
  • It's yours. MIT-licensed, with sessions stored locally. Sign in to use the built-in models, or bring your own API keys.

Built by NetEase Youdao, LobsterAI is the first open-source desktop-grade agent from a major Chinese tech company.

Features

Everything in the box

CapabilityWhat you get
Cowork sessionsLong-running tasks on local projects with streaming progress, a tool timeline, session forks, and approval prompts before file, shell, or network actions.
Artifacts and sharingLive previews for HTML, SVG, Mermaid, images, video, Markdown, code, PDF, and Office files. Edit images in place and share results as a link.
Built-in browserAn in-app browser the agent can drive, with tabs, saved logins, and passkey support, for research and web workflows.
Computer useLet the agent operate desktop apps on Windows x64 and macOS 13 or later.
Multiple agentsCreate agents with their own identity, model, skills, and working folder, add ready-made experts from the Expert Plaza, and bind agents to chat channels.
SkillsBuilt-in skills for documents, spreadsheets, slides, PDFs, web search, browser automation, image and video generation, stock research, writing, email, and more. See SKILLs/.
MCP connectorsAdd local or remote MCP servers from the marketplace, sign in with OAuth, and choose which tools each server exposes.
IM channelsWeChat, WeCom, DingTalk, Feishu/Lark, QQ, NetEase IM, NetEase Bee, POPO, Telegram, Discord, and email. Multi-instance platforms can route each bot to a different agent.
Desktop companionA floating orb for quick tasks, screenshots, and actions on selected text, such as translating or reading aloud.
Memory and DreamingDurable memory files, plus optional scheduled "Dreaming" runs that consolidate what the agent learned, so preferences carry across sessions.
ModelsBuilt-in models (DeepSeek, GLM, Kimi, Qwen, MiniMax, and more) after sign-in, or your own keys for OpenAI, Anthropic, Gemini, xAI, OpenRouter, Ollama, LM Studio, and any OpenAI-compatible endpoint.
LibraryEvery file your agents create, collected in one place across sessions, both local and shared.

Things to try

ScenarioExample prompt
Build a local tool"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."
Make a deck"Research the AI agent market and turn the findings into a presentation."
Check a web dashboard"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."

Quick start

  1. Install LobsterAI. Download it from the official website, or get the latest release directly: macOS (Apple Silicon) · macOS (Intel) · Windows x64
  2. Choose a model. Sign in to use the built-in models, or add your own API key under Settings → Custom Model.
  3. Give it a task. Pick a working folder, describe what you want, and approve actions as it works. Generated files open in the side panel.
  4. Go further. Install kits from Kits · Skills · Connectors, set up recurring work in Scheduled Tasks, or connect a chat app under Settings → IM Bot.

How it works

flowchart LR
  subgraph App["LobsterAI desktop app (Electron)"]
    UI["Renderer<br/>React · Redux · Tailwind<br/>sessions · artifacts · Office editors"]
    Main["Main process<br/>Cowork sessions · permissions · SQLite<br/>skills · MCP · IM · scheduler"]
    UI <-->|"preload IPC"| Main
  end
  Main <-->|"config sync · events"| Gateway["OpenClaw gateway<br/>bundled agent runtime"]
  Gateway --> Models["LLM providers"]
  Gateway --> Tools["Local tools<br/>files · shell · browser<br/>computer use · MCP servers"]
  Chat["Chat apps<br/>WeChat · Feishu · DingTalk · Telegram …"] <--> Gateway
  • Cowork is LobsterAI's product layer. It owns sessions, messages, permissions, artifacts, agents, and IM bindings, and stores them locally in SQLite.
  • OpenClaw is the agent runtime underneath. LobsterAI ships a pinned build, renders its config from app state, and translates its events into the Cowork stream.
  • The renderer is sandboxed with context isolation and talks to the main process only through the preload IPC bridge.

Build from source

Requirements: Node.js >=24.15.0 <25, npm >=11.17.0 <12, git, and pnpm.

git clone https://github.com/netease-youdao/LobsterAI.git
cd LobsterAI
npm install

# First run: fetches the pinned OpenClaw version into ../openclaw, builds the runtime, and starts the app
npm run electron:dev:openclaw

# Later runs, once the runtime exists
npm run electron:dev

CONTRIBUTING.md covers tests, linting, runtime options, packaging installers, and the project layout.

Security and privacy

  • Sessions, messages, and settings are stored locally in lobsterai.sqlite under the app's user data directory. Agent memory and runtime state live alongside it under openclaw/.
  • File operations, shell commands, and network access are permission-gated, and the agent asks before it acts.
  • Renderer windows run with context isolation, sandboxing, and no Node.js integration.

Community

Join the WeChat group for help, feedback, and release news. You can also follow @LobsterAIYoudao on X.

Report bugs and request features through GitHub Issues.

Contributing

Contributions are welcome. Read CONTRIBUTING.md to set up your environment, and look for good first issues to get started.

Star history

License

MIT © NetEase Youdao

Open the repository ↗