115 lines
3.4 KiB
Markdown
115 lines
3.4 KiB
Markdown
# Dotbase
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<div align="center">
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**Create agent-based workforces with drag-and-drop simplicity**
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[Website](https://dotbase.ai) • [Documentation](https://dotbase.gitbook.io/dotbase)
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</div>
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---
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## 🚀 Overview
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Dotbase is a powerful low-code platform that transforms how you build AI agent workforces. With our intuitive drag-and-drop interface, create sophisticated agent networks and export them as production-ready Python code.
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## ✨ Key Features
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### 🎨 **Visual Development**
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- **Drag-and-Drop Interface**: Effortlessly design complex multi-agent workflows with an intuitive UI.
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- **Interactive Canvas**: Organize agents, set connections, and define logic in a visual environment.
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- **No-Code Logic Configuration**: Modify agent behaviors, triggers, and responses without writing a single line of code.
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### 🔳 **Code Export**
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- **Production-Ready Python Code**: Automatically convert visual workflows into executable Python scripts.
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- **Autogen-Based Agent Framework**: Ensure seamless compatibility with Microsoft’s Autogen library.
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- **Editable and Extendable**: Modify exported scripts for additional customization.
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### 🛠️ **Custom Integration**
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- **Support for External APIs**: Connect agents to third-party tools, databases, and cloud services.
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- **Custom Functions**: Extend agent capabilities with Python functions and NovaMind Assistant API.
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- **Modular Plugin Support**: Easily integrate additional tools for domain-specific tasks.
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### 📊 **Real-time Testing & Debugging**
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- **Live Execution Preview**: Run workflows in real time and observe agent interactions.
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- **Event Logging & Monitoring**: Track agent performance, interactions, and message exchanges.
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- **Error Handling & Debugging**: Identify issues and optimize workflow efficiency.
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### 🔒 **Enterprise Security**
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- **Bank-Grade Encryption**: Ensure data privacy with industry-standard encryption techniques.
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- **Access Control & Permissions**: Define user roles and restrict access to sensitive operations.
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- **Secure API Communication**: Implement secure authentication and encrypted data transfers.
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## 🏰 Architecture
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### Agents
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Our Autogen-based system supports four core components:
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| Agent Type | Description |
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|------------|-------------|
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| `Nexus` | Configurable AI agents with custom system prompts |
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| `Lumina` | OpenAI Assistant API integration with custom function support |
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| `Bridge` | Human-agent interaction interface |
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| `Hub` | Multi-agent collaboration hub |
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### Tools
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`Spark`
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- Integrate Python functions
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- Connect OpenAI Assistant functions
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- Add custom capabilities
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## 💻 Workstation
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### Node Operations
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```mermaid
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graph LR
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A[Library Panel] -->|Drag & Drop| B[Workstation]
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B -->|Connect| C[Agents]
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B -->|Configure| D[Settings]
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```
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- **Add**: Drag components from Library Panel
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- **Connect**: handles indicate compatible connections
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- **Delete**: Press del / back-space key
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## 🚀 Deployment
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### Local Setup
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```bash
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# Install dependencies
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pip install pyautogen
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# Run exported script
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python dotflow.py
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```
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### Replit Deployment
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1. Create Python project
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2. Add to `pyproject.toml`:
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```toml
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[tool.poetry.dependencies]
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pyautogen = "0.2.7"
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```
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3. Run your exported script
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## 📄 License
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[MIT License](LICENSE)
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## 🌟 Support
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- Documentation: [docs.dotbase.ai](https://dotbase.gitbook.io/dotbase)
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---
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<div align="center">
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Made with ❤️ by Dotbase Team
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</div>
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