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Update README, discord links, and static files
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@@ -1,390 +1,291 @@
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<div align="center">
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<img src="static/bytebot-logo.png" width="500" alt="Bytebot Logo">
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<img src="docs/images/bytebot-logo.png" width="500" alt="Bytebot Logo">
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# Bytebot – Self-Hosted AI Desktop Agent
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# Bytebot: Open-Source AI Desktop Agent
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**Automate any computer task with natural language**
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**An AI that has its own computer to complete tasks for you**
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[🌐 Website](https://bytebot.ai) • [📚 Docs](https://docs.bytebot.ai) • [💬 Discord](https://discord.com/invite/zcb5wA2t4u) • [𝕏 Twitter](https://x.com/bytebot_ai)
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[](https://railway.com/deploy/bytebot?referralCode=L9lKXQ)
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[](https://github.com/bytebot-ai/bytebot/tree/main/docker)
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[](LICENSE)
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||||
[](https://discord.com/invite/d9ewZkWPTP)
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||||
|
||||
[🌐 Website](https://bytebot.ai) • [📚 Documentation](https://docs.bytebot.ai) • [💬 Discord](https://discord.com/invite/d9ewZkWPTP) • [𝕏 Twitter](https://x.com/bytebot_ai)
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</div>
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## What is Bytebot?
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Bytebot is a self-hosted AI desktop agent that transforms how you interact with computers. By combining powerful AI with a containerized Linux desktop, Bytebot can perform complex computer tasks. Think of it as your virtual employee that can actually use a computer – clicking, typing, browsing, and completing workflows just like a human would.
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## Why Self-Host Bytebot?
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- **Complete Privacy**: Your tasks and data never leave your infrastructure
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- **Full Control**: Customize the desktop environment and installed applications
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- **No Usage Limits**: Use your own LLM API keys without platform restrictions
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- **Secure Isolation**: Each desktop runs in its own container, isolated from your host
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|
||||
## Examples
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||||
|
||||
https://github.com/user-attachments/assets/32a76e83-ea3a-4d5e-b34b-3b57f3604948
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https://github.com/user-attachments/assets/5f946df9-9161-4e7e-8262-9eda83ee7d22
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|
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## ☁️ Deploy on Railway (1-Click)
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[](https://railway.com/deploy/bytebot?referralCode=L9lKXQ)
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1. Click the Deploy Now button in the Bytebot Railway template.
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2. Paste your `ANTHROPIC_API_KEY` in the single required environment variable.
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3. Press **Deploy**. Railway will spin up the Desktop, Agent, UI and Postgres services using pre-built container images, connect them via [private networking](https://docs.railway.com/guides/private-networking) and expose only the UI publicly.
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4. In about two minutes your agent will be live at your project's public URL.
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|
||||
_For an in-depth guide see [here](https://docs.bytebot.ai/deployment/railway)._
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|
||||
---
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## 🚀 Quick Start
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## What is a Desktop Agent?
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### Prerequisites
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A desktop agent is an AI that has its own computer. Unlike browser-only agents or traditional RPA tools, Bytebot comes with a full virtual desktop where it can:
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- Docker ≥ 20.10
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- Docker Compose
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- AI API key from one of these providers:
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- Anthropic ([get one here](https://console.anthropic.com)) - Claude models
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- OpenAI ([get one here](https://platform.openai.com/api-keys)) - GPT models
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- Google ([get one here](https://makersuite.google.com/app/apikey)) - Gemini models
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- Use any application (browsers, email clients, office tools, IDEs)
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- Download and organize files with its own file system
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- Log into websites and applications using password managers
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- Read and process documents, PDFs, and spreadsheets
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- Complete complex multi-step workflows across different programs
|
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|
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### Start Your Desktop Agent (2 minutes)
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Think of it as a virtual employee with their own computer who can see the screen, move the mouse, type on the keyboard, and complete tasks just like a human would.
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|
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1. **Clone and configure:**
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## Why Give AI Its Own Computer?
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When AI has access to a complete desktop environment, it unlocks capabilities that aren't possible with browser-only agents or API integrations:
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|
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### Complete Task Autonomy
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Give Bytebot a task like "Download all invoices from our vendor portals and organize them by date" and it will:
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- Open the browser
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- Navigate to each portal
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- Handle authentication (including 2FA via password managers)
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- Download the files to its local file system
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- Organize them into folders
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- Generate reports or summaries as needed
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|
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### Process Any Document
|
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|
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Upload files directly to Bytebot's desktop and it can:
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|
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- Read entire PDFs into its context
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- Extract data from complex documents
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- Cross-reference information across multiple files
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- Create new documents based on analysis
|
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- Handle formats that APIs can't access
|
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|
||||
### Use Real Applications
|
||||
|
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Bytebot isn't limited to web interfaces. It can:
|
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|
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- Use desktop applications like text editors, VS Code, or email clients
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- Run scripts and command-line tools
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- Install new software as needed
|
||||
- Configure applications for specific workflows
|
||||
|
||||
## Quick Start
|
||||
|
||||
### Deploy in 2 Minutes
|
||||
|
||||
**Option 1: Railway (Easiest)**
|
||||
[](https://railway.com/deploy/bytebot?referralCode=L9lKXQ)
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||||
|
||||
Just click and add your AI provider API key.
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|
||||
**Option 2: Docker Compose**
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|
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```bash
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git clone https://github.com/bytebot-ai/bytebot.git
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cd bytebot
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|
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# Configure your AI provider (choose one):
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echo "ANTHROPIC_API_KEY=your_api_key_here" > docker/.env # For Claude
|
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# echo "OPENAI_API_KEY=your_api_key_here" > docker/.env # For OpenAI
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# echo "GEMINI_API_KEY=your_api_key_here" > docker/.env # For Gemini
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```
|
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# Add your AI provider key (choose one)
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echo "ANTHROPIC_API_KEY=sk-ant-..." > docker/.env
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# Or: echo "OPENAI_API_KEY=sk-..." > docker/.env
|
||||
# Or: echo "GEMINI_API_KEY=..." > docker/.env
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||||
|
||||
2. **Start the agent stack:**
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||||
|
||||
```bash
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docker-compose -f docker/docker-compose.yml up -d
|
||||
|
||||
# Open http://localhost:9992
|
||||
```
|
||||
|
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3. **Open the chat interface:**
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||||
[Full deployment guide →](https://docs.bytebot.ai/quickstart)
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||||
|
||||
## How It Works
|
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|
||||
Bytebot consists of four integrated components:
|
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1. **Virtual Desktop**: A complete Ubuntu Linux environment with pre-installed applications
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2. **AI Agent**: Understands your tasks and controls the desktop to complete them
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3. **Task Interface**: Web UI where you create tasks and watch Bytebot work
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4. **APIs**: REST endpoints for programmatic task creation and desktop control
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||||
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||||
### Key Features
|
||||
|
||||
- **Natural Language Tasks**: Just describe what you need done
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||||
- **File Uploads**: Drop files onto tasks for Bytebot to process
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||||
- **Live Desktop View**: Watch Bytebot work in real-time
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||||
- **Takeover Mode**: Take control when you need to help or configure something
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||||
- **Password Manager Support**: Install 1Password, Bitwarden, etc. for automatic authentication
|
||||
- **Persistent Environment**: Install programs and they stay available for future tasks
|
||||
|
||||
## Example Tasks
|
||||
|
||||
### Basic Examples
|
||||
|
||||
```
|
||||
http://localhost:9992
|
||||
"Go to Wikipedia and create a summary of quantum computing"
|
||||
"Research flights from NYC to London and create a comparison document"
|
||||
"Take screenshots of the top 5 news websites"
|
||||
```
|
||||
|
||||
That's it! Start chatting with your AI desktop agent. Watch it work in real-time through the embedded desktop viewer.
|
||||
|
||||
### Example Tasks You Can Delegate
|
||||
|
||||
- "Research the top 5 competitors for [product] and create a comparison spreadsheet"
|
||||
- "Fill out this web form with the data from my CSV file"
|
||||
- "Check my email and summarize important messages"
|
||||
- "Download all PDFs from this website and organize them by date"
|
||||
- "Monitor this webpage and alert me when the price drops below $50"
|
||||
|
||||
## 🤖 Supported AI Models
|
||||
|
||||
Bytebot supports multiple AI providers to power your desktop agent:
|
||||
|
||||
- **Anthropic Claude**: Claude 3.5 Sonnet (default) - Best for complex reasoning and visual tasks
|
||||
- **OpenAI**: GPT-4, GPT-4o - Excellent for general automation tasks
|
||||
- **Google Gemini**: Gemini 1.5 Pro, Flash - Fast and efficient for routine tasks
|
||||
|
||||
Choose the model that best fits your needs and budget. Simply set the appropriate API key in your environment configuration.
|
||||
|
||||
## 🏗️ Architecture Overview
|
||||
|
||||
Bytebot consists of four main components working together:
|
||||
### Document Processing
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────┐
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||||
│ Your Browser │
|
||||
│ http://localhost:9992 │
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||||
└─────────────────────┬───────────────────────────────────────┘
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||||
│
|
||||
┌─────────────────────▼───────────────────────────────────────┐
|
||||
│ Bytebot UI (Next.js) │
|
||||
│ • Task interface │
|
||||
│ • Desktop viewer (VNC) │
|
||||
│ • Task management │
|
||||
└─────────────────────┬───────────────────────────────────────┘
|
||||
│ WebSocket
|
||||
┌─────────────────────▼───────────────────────────────────────┐
|
||||
│ Bytebot Agent (NestJS) │
|
||||
│ • Multi-LLM integration (Claude/GPT/Gemini) │
|
||||
│ • Task orchestration │
|
||||
│ • Action planning │
|
||||
└─────────────────────┬───────────────────────────────────────┘
|
||||
│ REST API
|
||||
┌─────────────────────▼───────────────────────────────────────┐
|
||||
│ Bytebot Desktop (Ubuntu + XFCE) │
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||||
│ • Full Linux desktop │
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||||
│ • Browser, email, VSCode, office apps │
|
||||
│ • Automation daemon (bytebotd) │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
"Read the uploaded contracts.pdf and extract all payment terms and deadlines"
|
||||
"Process these 50 invoice PDFs and create a summary report"
|
||||
"Analyze this financial report and answer: What were the key risks mentioned?"
|
||||
```
|
||||
|
||||
## 🛠️ Key Features
|
||||
### Multi-Application Workflows
|
||||
|
||||
### For End Users
|
||||
|
||||
- **Natural Language Control**: Just describe what you want done
|
||||
- **Visual Feedback**: Watch the AI work in real-time
|
||||
- **Task History**: Review and replay previous automations
|
||||
- **Browser-Based**: No software to install on your machine
|
||||
|
||||
### For Developers
|
||||
|
||||
- **REST API**: Integrate desktop automation into your applications
|
||||
- **Extensible**: Add custom tools and applications to the desktop
|
||||
- **Scriptable**: Create complex workflows with the automation API
|
||||
- **Observable**: Full logging and debugging capabilities
|
||||
|
||||
### For IT Teams
|
||||
|
||||
- **Container-Based**: Easy deployment with Docker
|
||||
- **Resource Efficient**: Minimal overhead compared to VMs
|
||||
- **Network Isolated**: Secure by default with customizable access
|
||||
- **Scalable**: Run multiple instances for team use
|
||||
|
||||
## 📊 System Requirements
|
||||
|
||||
### Minimum (Single Agent)
|
||||
|
||||
- 2 CPU cores
|
||||
- 4GB RAM
|
||||
- 10GB storage
|
||||
- Docker & Docker Compose
|
||||
|
||||
### Recommended (Production)
|
||||
|
||||
- 4+ CPU cores
|
||||
- 8GB+ RAM
|
||||
- 20GB+ storage
|
||||
- Linux host OS for best performance
|
||||
|
||||
## 🔧 Configuration
|
||||
|
||||
### Environment Variables
|
||||
|
||||
Create `docker/.env`:
|
||||
|
||||
```bash
|
||||
# Required - Choose one of these AI providers:
|
||||
ANTHROPIC_API_KEY=sk-ant-... # For Claude models
|
||||
# OPENAI_API_KEY=sk-... # For OpenAI models
|
||||
# GEMINI_API_KEY=... # For Google Gemini models
|
||||
```
|
||||
"Download last month's bank statements from our three banks and consolidate them"
|
||||
"Check all our vendor portals for new invoices and create a summary report"
|
||||
"Log into our CRM, export the customer list, and update records in the ERP system"
|
||||
```
|
||||
|
||||
### Desktop Customization
|
||||
## Programmatic Control
|
||||
|
||||
Add applications or configurations by extending the Dockerfile:
|
||||
|
||||
```dockerfile
|
||||
# docker/desktop/Dockerfile.custom
|
||||
FROM bytebot/desktop:latest
|
||||
|
||||
# Install additional software
|
||||
RUN apt-get update && apt-get install -y \
|
||||
libreoffice \
|
||||
gimp \
|
||||
your-custom-app
|
||||
|
||||
# Copy custom configs
|
||||
COPY configs/.config /home/user/.config
|
||||
```
|
||||
|
||||
## 🔒 Security Considerations
|
||||
|
||||
- **API Keys**: Keep your AI provider API keys secure and never commit them
|
||||
- **Network**: By default, services are only accessible from localhost
|
||||
- **VNC**: Change the default VNC password for production use
|
||||
- **Updates**: Regularly update the container images for security patches
|
||||
|
||||
## 🎯 Common Use Cases
|
||||
|
||||
### Personal Productivity
|
||||
|
||||
- Email management and responses
|
||||
- Calendar scheduling
|
||||
- Document organization
|
||||
- Web research and data collection
|
||||
|
||||
### Business Automation
|
||||
|
||||
- Form filling and data entry
|
||||
- Report generation
|
||||
- Competitive analysis
|
||||
- Customer support tasks
|
||||
|
||||
### Development & Testing
|
||||
|
||||
- UI testing automation
|
||||
- Cross-browser testing
|
||||
- API integration testing
|
||||
- Documentation screenshots
|
||||
|
||||
## 🚦 Managing Your Agent
|
||||
|
||||
### View Logs
|
||||
|
||||
```bash
|
||||
docker-compose -f docker/docker-compose.yml logs -f
|
||||
```
|
||||
|
||||
### Stop Services
|
||||
|
||||
```bash
|
||||
docker-compose -f docker/docker-compose.yml down
|
||||
```
|
||||
|
||||
### Update to Latest Version
|
||||
|
||||
```bash
|
||||
docker-compose -f docker/docker-compose.yml pull
|
||||
docker-compose -f docker/docker-compose.yml up -d
|
||||
```
|
||||
|
||||
### Reset Everything
|
||||
|
||||
```bash
|
||||
docker-compose -f docker/docker-compose.yml down -v
|
||||
```
|
||||
|
||||
## 📚 Advanced Usage
|
||||
|
||||
### Programmatic Control
|
||||
|
||||
Control Bytebot via REST API:
|
||||
### Create Tasks via API
|
||||
|
||||
```python
|
||||
import requests
|
||||
|
||||
# Create a task
|
||||
# Simple task
|
||||
response = requests.post('http://localhost:9991/tasks', json={
|
||||
'description': 'Search for flights from NYC to London next month',
|
||||
'description': 'Download the latest sales report and create a summary'
|
||||
})
|
||||
|
||||
task_id = response.json()['id']
|
||||
|
||||
# Check task status
|
||||
status = requests.get(f'http://localhost:9991/tasks/{task_id}')
|
||||
print(status.json())
|
||||
# Task with file upload
|
||||
files = {'files': open('contracts.pdf', 'rb')}
|
||||
response = requests.post('http://localhost:9991/tasks',
|
||||
data={'description': 'Review these contracts for important dates'},
|
||||
files=files
|
||||
)
|
||||
```
|
||||
|
||||
### Direct Desktop Automation
|
||||
### Direct Desktop Control
|
||||
|
||||
Use the computer control API for precise automation:
|
||||
```bash
|
||||
# Take a screenshot
|
||||
curl -X POST http://localhost:9990/computer-use \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"action": "screenshot"}'
|
||||
|
||||
The core container also exposes an [MCP](https://github.com/rekog-labs/MCP-Nest) endpoint.
|
||||
Connect your MCP client to `http://localhost:9990/mcp` to invoke these tools over SSE.
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"bytebot": {
|
||||
"command": "npx",
|
||||
"args": [
|
||||
"mcp-remote",
|
||||
"http://127.0.0.1:9990/mcp",
|
||||
"--transport",
|
||||
"http-first"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
# Click at specific coordinates
|
||||
curl -X POST http://localhost:9990/computer-use \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"action": "click_mouse", "coordinate": [500, 300]}'
|
||||
```
|
||||
|
||||
```javascript
|
||||
// Take screenshot
|
||||
POST http://localhost:9990/computer-use
|
||||
{
|
||||
"action": "screenshot"
|
||||
}
|
||||
[Full API documentation →](https://docs.bytebot.ai/api-reference/introduction)
|
||||
|
||||
// Click at coordinates
|
||||
POST http://localhost:9990/computer-use
|
||||
{
|
||||
"action": "click_mouse",
|
||||
"coordinate": [500, 300]
|
||||
}
|
||||
## Setting Up Your Desktop Agent
|
||||
|
||||
// Type text
|
||||
POST http://localhost:9990/computer-use
|
||||
{
|
||||
"action": "type_text",
|
||||
"text": "Hello, Bytebot!"
|
||||
}
|
||||
### 1. Deploy Bytebot
|
||||
|
||||
// Paste text (useful for special characters)
|
||||
POST http://localhost:9990/computer-use
|
||||
{
|
||||
"action": "paste_text",
|
||||
"text": "Special characters: ©®™€¥£"
|
||||
}
|
||||
Use one of the deployment methods above to get Bytebot running.
|
||||
|
||||
// Switch applications
|
||||
POST http://localhost:9990/computer-use
|
||||
{
|
||||
"action": "application",
|
||||
"application": "firefox" // Options: firefox, 1password, thunderbird, vscode, terminal, desktop, directory
|
||||
}
|
||||
### 2. Configure the Desktop
|
||||
|
||||
// Write a file
|
||||
POST http://localhost:9990/computer-use
|
||||
{
|
||||
"action": "write_file",
|
||||
"path": "/home/user/example.txt", // Absolute path or relative to /home/user/Desktop
|
||||
"data": "SGVsbG8gV29ybGQh" // Base64 encoded content
|
||||
}
|
||||
Use the Desktop tab in the UI to:
|
||||
|
||||
// Read a file
|
||||
POST http://localhost:9990/computer-use
|
||||
{
|
||||
"action": "read_file",
|
||||
"path": "/home/user/example.txt" // Returns base64 encoded content
|
||||
}
|
||||
- Install additional programs you need
|
||||
- Set up password managers for authentication
|
||||
- Configure applications with your preferences
|
||||
- Log into websites you want Bytebot to access
|
||||
|
||||
### 3. Start Giving Tasks
|
||||
|
||||
Create tasks in natural language and watch Bytebot complete them using the configured desktop.
|
||||
|
||||
## Use Cases
|
||||
|
||||
### Business Process Automation
|
||||
|
||||
- Invoice processing and data extraction
|
||||
- Multi-system data synchronization
|
||||
- Report generation from multiple sources
|
||||
- Compliance checking across platforms
|
||||
|
||||
### Development & Testing
|
||||
|
||||
- Automated UI testing
|
||||
- Cross-browser compatibility checks
|
||||
- Documentation generation with screenshots
|
||||
- Code deployment verification
|
||||
|
||||
### Research & Analysis
|
||||
|
||||
- Competitive analysis across websites
|
||||
- Data gathering from multiple sources
|
||||
- Document analysis and summarization
|
||||
- Market research compilation
|
||||
|
||||
## Architecture
|
||||
|
||||
Bytebot is built with:
|
||||
|
||||
- **Desktop**: Ubuntu 22.04 with XFCE, Firefox, VS Code, and other tools
|
||||
- **Agent**: NestJS service that coordinates AI and desktop actions
|
||||
- **UI**: Next.js application for task management
|
||||
- **AI Support**: Works with Anthropic Claude, OpenAI GPT, Google Gemini
|
||||
- **Deployment**: Docker containers for easy self-hosting
|
||||
|
||||
## Why Self-Host?
|
||||
|
||||
- **Data Privacy**: Everything runs on your infrastructure
|
||||
- **Full Control**: Customize the desktop environment as needed
|
||||
- **No Limits**: Use your own AI API keys without platform restrictions
|
||||
- **Flexibility**: Install any software, access any systems
|
||||
|
||||
## Advanced Features
|
||||
|
||||
### Multiple AI Providers
|
||||
|
||||
Use any AI provider through our [LiteLLM integration](https://docs.bytebot.ai/deployment/litellm):
|
||||
|
||||
- Azure OpenAI
|
||||
- AWS Bedrock
|
||||
- Local models via Ollama
|
||||
- 100+ other providers
|
||||
|
||||
### Enterprise Deployment
|
||||
|
||||
Deploy on Kubernetes with Helm:
|
||||
|
||||
```bash
|
||||
helm repo add bytebot https://charts.bytebot.ai
|
||||
helm install bytebot bytebot/bytebot \
|
||||
--set agent.env.ANTHROPIC_API_KEY=sk-ant-...
|
||||
```
|
||||
|
||||
## 🤝 Contributing
|
||||
[Enterprise deployment guide →](https://docs.bytebot.ai/deployment/helm)
|
||||
|
||||
We welcome contributions! Whether it's bug fixes, new features, or documentation improvements:
|
||||
## Community & Support
|
||||
|
||||
1. Fork the repository
|
||||
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
|
||||
3. Commit your changes (`git commit -m 'Add amazing feature'`)
|
||||
4. Push to the branch (`git push origin feature/amazing-feature`)
|
||||
5. Open a Pull Request
|
||||
|
||||
## 💬 Community & Support
|
||||
|
||||
- **Discord**: Join our [community server](https://discord.com/invite/zcb5wA2t4u) for help and discussions
|
||||
- **Discord**: [Join our community](https://discord.com/invite/d9ewZkWPTP) for help and discussions
|
||||
- **Documentation**: Comprehensive guides at [docs.bytebot.ai](https://docs.bytebot.ai)
|
||||
- **Issues**: Report bugs on [GitHub](https://github.com/bytebot-ai/bytebot/issues)
|
||||
- **GitHub Issues**: Report bugs and request features
|
||||
|
||||
## 🙏 Acknowledgments
|
||||
## Contributing
|
||||
|
||||
Built with amazing open source projects:
|
||||
We welcome contributions! Whether it's:
|
||||
|
||||
- [nutjs](https://github.com/nut-tree/nut.js) - Desktop automation framework
|
||||
- [Anthropic Claude](https://www.anthropic.com) - AI reasoning engine
|
||||
- [OpenAI](https://openai.com) - GPT models for automation
|
||||
- [Google AI](https://ai.google.dev) - Gemini models for efficient tasks
|
||||
- [noVNC](https://novnc.com) - Browser-based VNC client
|
||||
- Inspired by Anthropic's [computer-use demo](https://github.com/anthropics/anthropic-quickstarts)
|
||||
- 🐛 Bug fixes
|
||||
- ✨ New features
|
||||
- 📚 Documentation improvements
|
||||
- 🌐 Translations
|
||||
|
||||
## 📄 License
|
||||
Please:
|
||||
|
||||
Apache-2.0 license © 2025 Tantl Labs, Inc.
|
||||
1. Check existing [issues](https://github.com/bytebot-ai/bytebot/issues) first
|
||||
2. Open an issue to discuss major changes
|
||||
3. Submit PRs with clear descriptions
|
||||
4. Join our [Discord](https://discord.com/invite/d9ewZkWPTP) to discuss ideas
|
||||
|
||||
## License
|
||||
|
||||
Bytebot is open source under the Apache 2.0 license.
|
||||
|
||||
---
|
||||
|
||||
<div align="center">
|
||||
<strong>Ready to give your AI its own computer?</strong><br>
|
||||
Start with the Quick Start guide above or dive into the <a href="https://docs.bytebot.ai">full documentation</a>.
|
||||
|
||||
**Give your AI its own computer. See what it can do.**
|
||||
|
||||
[](https://railway.com/deploy/bytebot?referralCode=L9lKXQ)
|
||||
|
||||
<sub>Built by [Tantl Labs](https://tantl.com) and the open source community</sub>
|
||||
|
||||
</div>
|
||||
|
||||
@@ -430,5 +430,5 @@ kubectl delete pvc -n bytebot --all
|
||||
</CardGroup>
|
||||
|
||||
<Note>
|
||||
**Need help?** Join our [Discord community](https://discord.com/invite/zcb5wA2t4u) for Kubernetes-specific support.
|
||||
**Need help?** Join our [Discord community](https://discord.com/invite/d9ewZkWPTP) for Kubernetes-specific support.
|
||||
</Note>
|
||||
@@ -86,4 +86,4 @@ All internal traffic flows through Railway’s [private networking](https://docs
|
||||
## Next Steps
|
||||
|
||||
• Explore the [REST APIs](/api-reference/introduction) to script tasks programmatically.
|
||||
• Join our [Discord](https://discord.com/invite/zcb5wA2t4u) community for support and showcase your automations!
|
||||
• Join our [Discord](https://discord.com/invite/d9ewZkWPTP) community for support and showcase your automations!
|
||||
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 36 KiB |
@@ -196,7 +196,7 @@ Runs entirely on your infrastructure. Your data never leaves your servers.
|
||||
<Card
|
||||
title="Discord Community"
|
||||
icon="discord"
|
||||
href="https://discord.com/invite/zcb5wA2t4u"
|
||||
href="https://discord.com/invite/d9ewZkWPTP"
|
||||
>
|
||||
Join our community for help, tips, and discussions
|
||||
</Card>
|
||||
|
||||
+1
-1
@@ -357,6 +357,6 @@ curl -X POST http://localhost:9990/computer-use \
|
||||
|
||||
<Note>
|
||||
**Need help?** Join our [Discord
|
||||
community](https://discord.com/invite/zcb5wA2t4u) for support and to share
|
||||
community](https://discord.com/invite/d9ewZkWPTP) for support and to share
|
||||
what you're building!
|
||||
</Note>
|
||||
|
||||
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|
Before Width: | Height: | Size: 2.9 MiB |
Reference in New Issue
Block a user