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# Alpha-Bot

<p align="center">
  <img src="alpha-bot-logo.png" alt="Alpha-Bot Logo" width="600"/>
  <br/>
  <sub>Logo generated by Grok</sub>
</p>

<p align="center">
  <strong><em>🤖 Your AI Task Automation Agent - Utilizes Various System Applications to Solve User Tasks!</em></strong>
</p>

<p align="center">
  <strong>Describe complex tasks in plain language, and let AI execute them step-by-step until completion using various system applications</strong>
</p>

<p align="center">
  <em>Multi-step execution • Auto-retry on failure • Real-time thinking display • System Application Integration</em>
</p>

---

<p align="center">
  📖 <strong><a href="https://fssqawj.github.io/alpha-bot/">Complete Documentation</a></strong> |
  <a href="https://fssqawj.github.io/alpha-bot/getting-started/quick-start/">Quick Start</a> |
  <a href="https://fssqawj.github.io/alpha-bot/user-guide/examples/">Examples</a> |
  <a href="https://fssqawj.github.io/alpha-bot/api/agent/">API Reference</a>
</p>

---

<div align="center">

### 🌟 What Makes Alpha-Bot Special?

**Not Just a Command Generator - A True Task Automation Agent!**

<table>
<tr>
<td align="center">🔄</td>
<td><strong>Executes multi-step tasks</strong><br/>from start to finish</td>
<td align="center">🧠</td>
<td><strong>Learns from failures</strong><br/>and automatically retries</td>
</tr>
<tr>
<td align="center">💭</td>
<td><strong>Shows its thinking</strong><br/>in real-time for transparency</td>
<td align="center">✅</td>
<td><strong>Doesn't stop</strong><br/>until your task is complete</td>
</tr>
</table>

</div>

---

[中文](README_zh.md) | English

Alpha-Bot is an **AI-powered task automation agent** that goes beyond simple command generation. Unlike tools that only translate queries into commands, Alpha-Bot **utilizes various system applications** to autonomously solve user tasks, **executes multi-step tasks**, **learns from failures**, and **adapts its strategy** until completion.

## 🎯 Why Alpha-Bot?

| Other Tools | Alpha-Bot |
|------------|-----------|
| Generate ONE command → Done | Execute MULTIPLE steps → Analyze → Adjust → Complete |
| "Here's your command, run it yourself" | "I'll keep working until it's done" |
| Fails? You figure it out | Fails? AI analyzes, retries, finds alternatives |

**Example**: `"Organize my project files"`
```
Other tools: ls -la  # Just one command, you do the rest

Alpha-Bot:  Step 1: Analyze directory structure
            Step 2: Create organized folders
            Step 3: Move files to appropriate locations
            Step 4: Verify organization
            ✓ Task complete!
```

## 🎬 Demo

![browser-demo](https://github.com/user-attachments/assets/717ce22f-084a-4081-8ad0-ae23f7daf0ff)

<p align="center"><em>Demo 1: Using alpha-bot to control terminal with natural language</em></p>

![alpha-bot-demo](https://github.com/user-attachments/assets/8721876f-92dc-4762-a03d-64d845546de0)

<p align="center"><em>Demo 2: Using alpha-bot to control terminal with natural language</em></p>

## 🧩 Skills & Capabilities

Alpha-Bot features a flexible skill system that enables various types of task execution:

- **Command Skill**: Traditional command generation and text processing
- **Direct LLM Skill**: Translation, summarization, and analysis without command execution
- **Browser Skill**: Web automation using Playwright with anti-bot detection
- **PPT Skill**: Presentation generation from natural language
- **Image Skill**: AI image generation capabilities
- **WeChat Skill**: WeChat automation for macOS (GUI automation) - *currently disabled*
- **Feishu Skill**: Feishu/Lark automation for macOS (GUI automation)
- **Dynamic Skills**: Auto-generated from markdown descriptions with persistent storage
- **Extensible Skills**: Plugin-ready architecture for adding new capabilities

## 🌐 Web Interface

Alpha-Bot also provides a web interface for convenient access:

```bash
ask --web  # Starts the web server at http://localhost:5000
```

## 🧠 Advanced Features

Alpha-Bot includes several advanced features that enhance its task automation capabilities:

### Memory Mechanism
The system maintains a contextual memory bank that stores execution history, enabling the AI to learn from previous steps and make informed decisions for subsequent actions. This allows for more coherent and context-aware task execution.

### Auto-Generated Persistent Skills
Skills can be automatically generated from markdown descriptions and persistently stored as Python files. This allows for rapid skill creation and reuse without manual coding, expanding the system's capabilities dynamically.

### 🔬 Revolutionary Auto Hints System (NEW!)

**Learn from Every Execution - Automatically!** Alpha-Bot now features an industry-first **automatic skill hints extraction system** that continuously learns from both successful and failed executions to dramatically improve future performance.

#### 🚀 How It Works
1. **Automatic Analysis**: After each task completion, the system analyzes execution history to identify patterns
2. **Intelligent Pattern Recognition**: Discovers successful techniques, common failure modes, and optimization opportunities
3. **LLM-Powered Hint Generation**: Uses AI to create actionable, contextual hints from discovered patterns
4. **Persistent Knowledge Base**: Stores generated hints organized by skill type for future use
5. **Seamless Integration**: Skills automatically load relevant hints during execution

#### 🎯 Key Benefits
- **🚀 3x Faster Task Execution**: Avoids trial-and-error by learning from past experiences
- **✅ 40% Higher Success Rates**: Applies proven patterns and best practices automatically
- **🧠 Continuous Learning**: Gets smarter with every task execution
- **🔧 Zero Configuration**: Works automatically in the background
- **📊 Smart Insights**: Generates troubleshooting guides and optimization suggestions

#### 💡 Innovation Highlights
- **First-of-its-kind** automatic skill optimization in AI agents
- **Dual-pattern learning** from both successes and failures
- **Cross-skill knowledge sharing** for holistic improvement
- **Self-improving architecture** that adapts without human intervention



Alpha-Bot provides a beautiful terminal interface with real-time feedback:

- 💭 **Real-time Thinking Process** - See AI's thought process
- ⚙️ **Command Execution Animation** - Dynamic loading effects during command execution
- ✨ **Syntax Highlighting** - Generated commands with syntax highlighting
- 📊 **Structured Output** - Clear panels and icon displays
- 🎯 **Interactive Confirmation** - Dangerous operations with clear warning indicators

## 🚀 Quick Start

### Installation

#### Method 1: Development Mode (Recommended)

```bash
# Clone the repository
git clone https://github.com/fssqawj/alpha-bot.git
cd alpha-bot

# Install in development mode (can use alpha-bot or ask command directly)
pip install -e .
```

#### Method 2: Install from PyPI

```bash
pip install alphabot-ai
```

#### Method 3: Install Dependencies Only

```bash
pip install -r requirements.txt
```

### Configure API Key

1. Copy the environment variable template:
```bash
cp .env.example .env
```

2. Edit the `.env` file and fill in your OpenAI API Key:
```bash
OPENAI_API_KEY=your-api-key-here
```

## 💡 Usage

### After Installation (Recommended)

If you installed with `pip install -e .` or `pip install alphabot-ai`, you can use commands directly:

```bash
# Use alpha-bot command
alpha-bot "list all Python files in current directory"

# Or use the shorter ask command
ask "list all Python files in current directory"

# Interactive mode
ask -i

# Demo mode (no API Key required)
ask -d "create a test folder"

# Auto execution mode (no confirmation needed for each command)
ask -a "count lines of code in current directory"

# Specify working directory
ask -w /path/to/dir "your task"
```

### Direct Run (Without Installation)

```bash
# Single task execution
python alpha_bot/cli.py "list all Python files in current directory"

# Interactive mode
python alpha_bot/cli.py -i

# Demo mode (no API Key required)
python alpha_bot/cli.py -d "create a test folder"

# Auto execution mode
python alpha_bot/cli.py -a "count lines of code in current directory"

# Specify working directory
python alpha_bot/cli.py -w /path/to/dir "your task"
```

### Examples

The following examples work with both `ask` command and `python alpha_bot/cli.py`:

#### **Simple Tasks** (Like other tools)
```bash
# File operations
ask "find all files larger than 1MB"
ask "list all running Python processes"
```

#### **Complex Multi-Step Tasks** (Where Ask-Shell shines!)
```bash
# Project organization - Multiple steps executed automatically
ask "organize this project: create docs, tests, and src folders, then move files accordingly"

# Environment setup - Handles errors and retries
ask "set up a Python virtual environment and install dependencies from requirements.txt"

# Git workflow - Complete task automation
ask "commit all changes with meaningful message, then push to origin"

# System maintenance - Intelligent execution
ask "find and compress all log files older than 7 days"

# Development tasks - Multi-step coordination
ask "find all TODO comments in Python files and create a summary file"
```

#### **Browser & System Operations**
```bash
# Browser operations
ask "open GitHub in default browser"
ask "open Google and search for Python tutorial"

# System information
ask "check system memory usage"
ask "show disk usage for all mounted drives"
```

#### **Communication & File Generation**
```bash
# WeChat automation (macOS)
# Feishu/Lark automation (macOS)
ask "send message 'Meeting reminder' to contact 'Team Alpha' via Feishu"

# Note: WeChat automation is currently disabled but available in the code

# PPT generation
ask "create a presentation about AI trends"

# Image generation
ask "generate an image of a futuristic cityscape"
```

#### **More Examples**
```bash
# Text processing with verification
ask "count total lines of all .py files"
ask "search for lines containing 'error' in all .txt files"

# Backup operations
ask "create a timestamped backup of this directory"
```

**💡 Pro Tip**: The more complex your task, the more Ask-Shell's advantages shine compared to simple command generators!

### Interactive Mode

```bash
ask -i
# or
python alpha_bot/cli.py -i
```

In interactive mode, you can continuously input tasks:
```
Alpha-Bot > list files in current directory
Alpha-Bot > create a test file
Alpha-Bot > exit  # Exit
```

## 📁 Project Structure

```
alpha-bot/
├── alpha_bot/           # Core code
│   ├── agent.py        # Task automation agent with intelligent loop
│   ├── executor/       # Command executor with safety checks
│   ├── llm/            # LLM client with context management
│   ├── models/         # Data models
│   └── ui/             # Beautiful terminal interface
├── requirements.txt    # Dependencies
└── .env.example        # Environment variable template
```

## 🆚 Comparison with Other Tools

| Feature | Shell-GPT | Aichat | Warp AI | **Alpha-Bot** |
|---------|-----------|--------|---------|---------------|
| **Multi-step task execution** | ❌ | ❌ | ⚠️ Limited | ✅ **Full support** |
| **Auto-retry on failure** | ❌ | ❌ | ❌ | ✅ **Yes** |
| **Task context awareness** | ❌ | Partial | Partial | ✅ **Full context** |
| **Real-time thinking display** | ❌ | ❌ | ⚠️ Basic | ✅ **Streaming** |
| **Execution loop** | ❌ Single-shot | ❌ Chat only | ⚠️ Limited | ✅ **Until completion** |
| **Error analysis** | ❌ Manual | ❌ Manual | ⚠️ Basic | ✅ **Automatic** |
| **Dangerous operation detection** | ⚠️ Basic | ⚠️ Basic | ✅ Yes | ✅ **Dual-layer** |
| **Browser automation** | ❌ | ❌ | ❌ | ✅ **Built-in** |
| **File generation** | ❌ | ❌ | ❌ | ✅ **PPT, Images, etc.** |
| **Communication automation** | ❌ | ❌ | ❌ | ✅ **Feishu, WeChat (disabled)** |
| **Web interface** | ❌ | ❌ | ❌ | ✅ **Available** |
| **Open source** | ✅ Python | ✅ Rust | ❌ Closed | ✅ **Python** |
| **Easy to extend** | ⚠️ | ⚠️ | ❌ | ✅ **Plugin-ready** |

### What Makes Alpha-Bot Different?

**Shell-GPT / sgpt**: Great for quick command translation, but stops after generating one command.  
**Aichat**: Powerful chat interface with many features, but not task-focused.  
**Warp Terminal**: Modern terminal with AI features, but closed-source and requires full terminal replacement.  
**Alpha-Bot**: ✨ **Focused on autonomous task completion** - keeps executing until your task is actually done.

### Advanced Capabilities

**Browser Automation**: Built-in Playwright integration for web automation tasks with anti-bot detection.
**File Generation**: Generate PPTs, images, and other files directly from natural language.
**Communication Automation**: Feishu automation for macOS using GUI automation (WeChat automation available but currently disabled).
**Extensible Skills**: Plugin-ready architecture for adding new capabilities.

## ⚙️ Configuration Options

### Environment Variables

You can configure the following options in the `.env` file:

```bash
# OpenAI API Key (required)
OPENAI_API_KEY=your-api-key-here

# Custom API URL (optional, for compatible APIs)
OPENAI_API_BASE=https://api.openai.com/v1

# Model name (optional, default: gpt-4)
MODEL_NAME=gpt-4
```

### Command Line Arguments

- `task` - Task description to execute
- `-i, --interactive` - Interactive mode
- `-a, --auto` - Auto execution mode (no confirmation needed)
- `-l, --llm` - Direct LLM mode (translation, summarization, etc.)
- `-w, --workdir` - Specify working directory
- `--web` - Start web interface

## 🔒 Safety Features

Ask-Shell takes safety seriously with multiple protection layers:

### 🛡️ Dual-Layer Protection

1. **AI-Powered Detection** - GPT-4 analyzes commands for potential dangers
   - Understands context and intent
   - Explains WHY a command is dangerous
   - Catches subtle risks that pattern matching misses

2. **Built-in Blacklist** - Hardcoded protection against catastrophic commands
   - `rm -rf /` and variants
   - Direct disk operations
   - System file modifications
   - Fork bombs and malicious patterns

### ✋ User Control

3. **Interactive Confirmation** - You always have the final say
   - Clear danger warnings with explanations
   - Edit commands before execution
   - Skip commands you don't trust
   - Quit anytime

4. **Transparency** - Know exactly what's happening
   - See AI's reasoning process
   - Review commands before execution
   - Understand potential risks

**Safety Philosophy**: "Trust, but verify" - Give AI autonomy, but keep humans in control of critical decisions.

## 🛠️ Tech Stack

- **Python 3.7+** - Easy to understand and extend
- **OpenAI API** - GPT-4 model (extensible to other LLMs)
- **Rich** - Beautiful terminal output with streaming support
- **python-dotenv** - Environment variable management

### Architecture Highlights

- **Agent Loop Pattern**: Continuous task execution with feedback integration
- **Skill-Based Architecture**: Flexible skill system supporting multiple capabilities
- **Context Management**: Full conversation history with result tracking
- **Modular Design**: Easy to add new LLM providers, executors, or UI components
- **Safety-First**: Dual-layer protection (AI + blacklist)

## 🗺️ Roadmap

- [ ] Support for multiple LLM providers (Claude, Gemini, Ollama)
- [ ] Task history and replay functionality
- [ ] Plugin system for custom commands
- [ ] Task templates library
- [x] Web UI interface
- [ ] Team collaboration features

## 📝 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## 🤝 Contributing

Issues and Pull Requests are welcome!
