AutoForceAI

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AutoForceAI (思渡AI) is an open source digital employees platform (数字员工平台) that deeply integrates LLM, RPA, GEO, Knowledge Base (RAG), and Business Systems (BI, ERP, CRM, eCommerce). It helps enterprises achieve an AI-driven closed loop of automated business processes.

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# AutoForceAI (Digital Employee Platform)

[English](README.md) | [中文](README_CN.md)

> **"Empower Every Enterprise with Intelligent Digital Workforce"**
>
> **"Not just Digital Employees, but your Automated Business Empire"**

**AutoForceAI** 思渡AI (sdosoft.com) is an **AI-native, full-stack, enterprise-grade** digital employees platform. Even without deep AI development background, you can use this project to build a complete AI business intelligence system **out of the box**.

It is more than just a simple Agent framework; it is a comprehensive solution that deeply integrates **Large Language Models (LLM)**, **Robotic Process Automation (RPA)**, **Enterprise Knowledge Brain (RAG)**, and **Business Systems (BI/ERP/CRM)**. By simulating the learning, thinking, and executing capabilities of human employees, AutoForceAI helps enterprises achieve an **AI-driven closed loop of automated business processes**.

## 🌟 Product Matrix

This project delivers a complete AI business solution, covering the full spectrum from infrastructure to application layer:

-   **🧠 AI Middle Platform**: Unified model orchestration, plugin management, and knowledge engine.
-   **📚 AI Knowledge Base**: Enterprise Knowledge Brain & Q&A system based on RAG technology, supporting solution generation.
-   **🤖 Digital Employee**: Autonomous agents capable of planning and executing complex tasks via RPA.
-   **👤 Digital Human**: High-fidelity 3D/2D avatars for video generation and live streaming.
-   **🛍️ AI eCommerce**: AI-driven e-commerce system including product management, design, image generation, copywriting, order processing, and QC.
-   **💹 AI Marketing**: Full-link marketing automation platform integrating short video creation, text-to-image, and image-to-video.
-   **🤝 AI Customer Service**: 24/7 intelligent reception with multi-turn dialogue and intent recognition.
-   **👥 AI CRM**: Intelligent customer relationship management with auto-profiling and lead scoring.
-   **🔍 GEO (Generative Engine Optimization)**: Content optimization system for generative answer engines.

### Core Modules

-   **Multimodal Brain**: Core cognitive engine (`digital-brain`) deeply integrating leading models like **DeepSeek, Qwen, Doubao, OpenAI, Seedance2.0, Runway**.
-   **RPA Workers**: Distributed execution units (`rpa-worker`) that automate browser tasks like content posting and data gathering.
-   **Unified Console**: Full-featured admin dashboard (`apps/web-console`) including CRM, Order Management, and Digital Human configuration.
-   **AI Mall**: A complete commercial marketplace for AI skills and templates (`apps/ai-mall`).
-   **Official Landing**: Production-ready product showcase site (`apps/official-site`).
-   **E-commerce Core**: Built-in product and order management backend (`services/ecommerce-core`).

## � Screenshots

<div align="center">
  <p><strong>Enterprise Brain Dashboard</strong></p>
  <img src="docs/screenshots/qydn.png" alt="Enterprise Brain - qydn.png" width="800"/>
</div>

<div align="center">
  <p><strong>Intelligent Knowledge Base & RAG Engine</strong></p>
  <img src="docs/screenshots/kb.png" alt="Knowledge Base - kb.png" width="800"/>
</div>

<div align="center">
  <p><strong>AI Customer Service Expert</strong></p>
  <img src="docs/screenshots/kfzj.png" alt="Customer Service Expert - kfzj.png" width="800"/>
</div>

<div align="center">
  <p><strong>GEO Traffic Engine</strong></p>
  <img src="docs/screenshots/geo.png" alt="GEO Engine - geo.png" width="800"/>
</div>

<div align="center">
  <p><strong>Product Matrix</strong></p>
  <img src="docs/screenshots/cp.png" alt="Digital Employee Product Matrix - cp.png" width="800"/>
</div>

## �📊 Editions & Comparison

AutoForceAI adopts a **"Core Open Source + Commercial Enhancement"** dual-model strategy. While our long-term vision is full open source, to ensure sustainable development and meet enterprise needs, we will gradually release high-value modules to the Community Edition.

> 💡 **The Community Edition currently includes the core business scenarios mentioned above**, allowing you to build a complete commercial system. The Professional Edition focuses on enhancements for **mass scale**, **complex integration**, and **high-value vertical scenarios**.

## 🏗️ Architecture Stack

The system is composed of five main planes:

1.  **Control Plane**: `apps/web-console` (Next.js 14, React, Tailwind CSS) - *Includes CRM, Marketing, & Ops modules.*
2.  **Data Plane**: `services/digital-brain` (FastAPI, Python 3.10+, PostgreSQL/SQLite)
3.  **Execution Plane**: `services/rpa-worker` (Python, Selenium/Playwright)
4.  **Business Plane**: `services/ecommerce-core` (FastAPI, SQLAlchemy) - *Handles products & orders.*
5.  **Traffic Plane**: `apps/official-site` & `apps/ai-mall` (Next.js, React, Tailwind CSS)

## 🚀 Getting Started

### Prerequisites

- **Python**: 3.10+
- **Node.js**: 18+ (LTS recommended)
- **Database**: PostgreSQL (Production) or SQLite (Dev default)
- **Redis**: Recommended for task queues

### Installation Guide

#### 1. Setup Backend (Digital Brain)
```bash
cd services/digital-brain
# Create virtual environment (recommended)
python -m venv venv
# Activate: .\venv\Scripts\Activate (Windows) or source venv/bin/activate (Linux/Mac)

pip install -r requirements.txt

# Configure Environment
cp .env.example .env
# Edit .env with your API keys and DB details

# Run Server
python server.py
# API will be available at http://localhost:8002/docs
```

#### 2. Setup Frontend (Web Console)
```bash
cd apps/web-console
npm install

# Configure Environment
cp .env.example .env.local

# Run Development Server
npm run dev
# Dashboard at http://localhost:3000
```

#### 3. Setup RPA Worker (Optional)
Required only if you plan to run browser automation tasks.
```bash
cd services/rpa-worker
pip install -r requirements.txt
cp .env.example .env
python worker_main.py
```

## � Quick Start

### 1. Create Enterprise & Invite Members
- **Create Enterprise**: After first login, go to **Organization Management** -> **Enterprise Settings**, click "Create New Enterprise" and enter the name. The system will auto-generate the default structure.
- **Invite Members**: In **Organization Management** -> **Member List**, click "Invite Member" at the top right. Copy the link or code and send it to your colleagues. They can join your workspace after registration.

### 2. Configure AI Middle Platform (LLM API Keys)
To enable the Digital Brain to think, you need to configure the LLM API Keys:
1. Navigate to **AI Middle Platform** -> **Model Management**.
2. Click "Add Model Provider" and select your provider (e.g., DeepSeek, ZhipuAI, OpenAI, Qwen).
3. Enter the `API Key` and enable the service.
4. Set the model as the **System Default Reasoning Engine** in "Default Model Settings".

## �📂 Project Structure

```
├── apps/                   # Frontend Applications
│   ├── web-console/        # Management Console (Full Enterprise Edition)
│   ├── ai-mall/            # AI Marketplace
│   ├── official-site/      # Official Landing Page
│   └── ...                 # More Application Modules
├── services/               # Backend Services
│   ├── digital-brain/      # Core AI Engine & Logic
│   ├── rpa-worker/         # Automation Agents
│   ├── ecommerce-core/     # E-commerce Core Backend
│   └── ...                 # More Microservices
├── scripts/                # Maintenance & Tool Scripts
└── docs/                   # Documentation
```

## 🤝 Contributor Guide (CLA)

We welcome contributions from the community! To ensure the project's long-term development and legal compliance, all code contributors must agree to the following **Contributor License Agreement (CLA)**:

1.  **Copyright Grant**: You agree to grant the project maintainers (**SDOSOFT AI Team**) the right to use, modify, and distribute your contributed code.
2.  **Protocol Adjustment**: You authorize the project maintainers to adjust the open-source license in future versions (e.g., changing to a more permissive or stricter license).
3.  **Commercial Use**: You explicitly allow your contributions to be included in commercial products or cloud services provided by the project maintainers.

Submitting a Pull Request is considered as your agreement to the above terms.

Detailed guidelines can be found in [CONTRIBUTING.md](CONTRIBUTING.md).

## 🙏 Acknowledgments

AutoForceAI is built on the shoulders of giants. Special thanks to these amazing open-source projects:
- [LangChain](https://github.com/langchain-ai/langchain)
- [FastAPI](https://github.com/tiangolo/fastapi)
- [Next.js](https://github.com/vercel/next.js)
- [Playwright](https://github.com/microsoft/playwright)

## 📞 Contact & Communication

- **Commercial Cooperation / Custom Development**: Please contact author email `andylin@sdosoft.com`
- **Issue Feedback**: Please prefer [GitHub Issues](../../issues) for archiving and helping others.
- **Technical Group**: Scan the QR code to join WeChat group (Please email if expired).

## ⚠️ Disclaimer

- This project is for learning, research, and legal commercial use only. Do not use this project for any illegal purposes (such as cyber attacks, fraud, etc.).
- The user assumes all consequences (including but not limited to data loss, legal disputes) arising from the use of this project, and the open-source author assumes no responsibility.
- The use of third-party models (such as OpenAI, DeepSeek, etc.) involved in this project must comply with the service terms of each provider.

## 📄 License

This project is licensed under the **GNU Affero General Public License v3.0 (AGPL-3.0)**.

- **AutoForceAI** is an open-source project initiated and maintained by **[SDOSOFT (思渡AI)](https://www.sdosoft.com)**.
- If you **modify** or **secondary develop** this project and use it for **online services** (i.e., providing software functionality via a network), you must **open source your complete source code** in accordance with the AGPL-3.0 agreement.
- For full license text, please refer to the [LICENSE](LICENSE) file.

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