LangTARS: Open-Source AI Agent for Remote PC Control — Works with Dify, n8n & 10+ Messaging Platforms
LangBot Native Plugin | OpenClaw-like Experience | Ready to Use with One-Click Deployment
✨ What is LangTARS?
LangTARS is a powerful OpenClaw alternative and native plugin for LangBot, inspired by the loyal and reliable robot TARS from the movie Interstellar.
As a versatile AI agent for remote computer control, LangTARS allows you to remotely command your Mac, Windows, or Linux machine directly through your favorite messaging apps like Telegram, Discord, DingTalk, and WeChat! If you’ve been looking for an OpenClaw-like computer use agent that integrates seamlessly into your existing chatbot framework, LangTARS is the perfect solution.
💡 Deploy LangBot, and you can experience LangTARS instantly! No extra standalone agent installation needed—just get it with one click from the plugin marketplace.
🤖 The LangBot Ecosystem
LangTARS is just ONE plugin in the massive LangBot ecosystem. LangBot is a leading open source chatbot framework designed for connecting LLMs to messaging platforms.
- Multi-platform bot integration: Native support for Telegram, Discord, WeChat, DingTalk, Lark, LINE, Slack, and more.
- Multi-model LLM chatbot: Works flawlessly with OpenAI, Claude, Gemini, DeepSeek, and local models.
- Rich Plugin Marketplace: Access over 30+ plugins for endless functionality.
- Advanced Features: Pipeline-based message processing, RAG support, and multi-agent workflows.
- Self-hosted AI: Total control over your data and deployments.
- AI Workflow Integrations: Connect LangBot to platforms like Dify, n8n, Langflow, and Coze. LangBot can act as the messaging frontend for your complex AI workflows, meaning LangTARS + Dify/n8n = powerful automation!
Get started with LangBot:
- Easiest: LangBot Cloud
- Self-host:
uvx langbot@latest - Documentation: docs.langbot.app
- GitHub: github.com/langbot-app/LangBot (15k+ stars)
🎯 What Can It Do?
As a comprehensive automation tool, just send a message, and the AI will handle your task automation and browser automation:
| You Say | AI Does |
|---|---|
!tars open Reddit in Chrome, post a thread with the title "Hello from LangTARS" and say hi | 🌐 Automatically controls Chrome to open Reddit and publish a post |
!tars organize my desktop files | 📁 Automatically categorizes and moves files |
!tars open the browser and search for today's AI news | 🌐 Opens a browser, searches the web, and summarizes the news |
!tars create a meeting note for our marketing sync | 📝 Automatically creates a markdown note file |
!tars check system memory and CPU | 💻 Uses MCP tools to get computer status |
🔗 Supercharge with Dify & n8n
LangTARS becomes even more powerful when combined with AI workflow platforms:
- Dify Integration: Connect LangBot to Dify as a messaging frontend. Build complex AI workflows in Dify’s visual editor, then trigger them from Telegram/Discord via LangTARS.
- n8n Integration: Use n8n workflows with LangBot for advanced automation chains. Combine LangTARS’s computer control with n8n’s 400+ integrations for unlimited possibilities.
- Also supports: Langflow, Coze, and any OpenAI-compatible API.
💡 Example: “Hey TARS, run my Dify workflow to analyze today’s sales data and save the report to my desktop” — LangTARS handles the entire chain.
🚀 Why Choose LangTARS?
1️⃣ LangBot Native Plugin, Out of the Box
Instead of deploying a complex standalone agent, you can easily deploy AI bot capabilities right where you already chat.
# Deploy LangBot with one command
uvx langbot@latest
# Install LangTARS from the plugin market, configure your LLM, and start using!No complex configuration, no extra deployment. LangBot users can experience OpenClaw-style computer control directly!
2️⃣ Intelligent Task Planning, Autonomous Execution
Powered by an AI planning engine based on the ReAct agent loop:
Your Command → Understand Needs → Make a Plan → Execute Step-by-Step → Feedback ResultsThe AI assistant thinks like a human and automatically breaks down complex tasks using integrated MCP tools!
3️⃣ Multi-Browser Support for Web Automation
| Browser | macOS | Windows | Linux |
|---|---|---|---|
| Playwright (Headless) | ✅ | ✅ | ✅ |
| Safari | ✅ | - | - |
| Chrome | ✅ | ✅ | ✅ |
| Edge | - | ✅ | - |
| Firefox | - | - | ✅ |
4️⃣ Security-First Design
- 🚫 Dangerous Command Interception — Automatically blocks commands like
rm -rf / - 📂 Workspace Isolation — Restricts file operations to safe directories
- 📋 Command Whitelist — Configurable allowed commands
- 👤 User Access Control — Restricts usage to specific authorized users
📱 Quick Start
Step 1: Deploy LangBot
🚀 Fastest way to start: Use LangBot Cloud — deploy your LangBot instance in one click, no server needed! Install LangTARS from the plugin marketplace and start controlling your computer immediately.
Alternative for power users (Self-hosted):
uvx langbot@latestStep 2: Configure Chat Platform
Follow the documentation to configure your Telegram bot, WeChat bot, or Discord bot.
Step 3: Install LangTARS
Search for LangTARS in the plugin marketplace and install it.
Step 4: Start Chatting
!tars Hello, tell me what you can do📱 Recommendation: Use it on Telegram or Discord for the best interactive experience!
🎮 Common Commands
| Command | Function |
|---|---|
!tars <Task Description> | Execute a task |
!tars stop | Stop the current task |
!tars what | Check execution status |
!tars reset | Reset the conversation |
!tars help | Show help |
🌟 Project Information
| Item | Information |
|---|---|
| GitHub | github.com/langbot-app/LangTARS |
| Language | Python 100% |
| License | CC BY-NC-ND 4.0 |
| Platforms | macOS / Windows / Linux |
🔗 Related Links
- 📖 LangBot Documentation: docs.langbot.app
- 💬 Issue Feedback: GitHub Issues
- ⭐ Support with a Star: GitHub
🎉 Deploy LangBot and Experience LangTARS!
Let AI be your loyal digital assistant, just like TARS.
🚀 Fastest way to start: Use LangBot Cloud — deploy your LangBot instance in one click, no server needed! Install LangTARS from the plugin marketplace and start controlling your computer immediately.
Alternative for power users (Self-hosted):
uvx langbot@latest