system-prompts-and-models-of-ai-tools/unified-ai-platform

🚀 Unified AI Platform

A comprehensive AI platform that combines the best patterns and architectures from leading AI systems including Cursor, Devin, Manus, v0, and others.

🏗️ Architecture Overview

Core Components

1. System Prompts - Adaptive behavior definition
2. Agent Tools - Modular tool system with JSON definitions
3. Memory Systems - Context-aware memory management
4. Decision-making Logic - Intelligent workflow routing
5. Module Systems - Component-based architecture

Key Features

• Multi-Modal Capabilities: Text, code, image, and audio processing
• Context-Aware Memory: Persistent user preferences and patterns
• Modular Tool System: Extensible tool definitions via JSON
• Intelligent Planning: Two-phase planning and execution modes
• Security-First: Built-in security protocols and data protection
• Multi-Language Support: Native support for multiple programming languages

📁 Project Structure

unified-ai-platform/
├── core/
│   ├── system-prompts/
│   ├── agent-tools/
│   ├── memory-systems/
│   ├── decision-logic/
│   └── modules/
├── tools/
│   ├── file-operations/
│   ├── code-analysis/
│   ├── terminal-commands/
│   └── communication/
├── memory/
│   ├── user-preferences/
│   ├── conversation-history/
│   └── knowledge-base/
├── modules/
│   ├── planner/
│   ├── knowledge/
│   ├── datasource/
│   └── executor/
└── config/
    ├── tools.json
    ├── memory-rules.json
    └── system-config.json

🚀 Getting Started

1. Install Dependencies
2. Configure Tools
3. Set Up Memory System
4. Initialize Modules
5. Start the Platform

🔧 Configuration

The platform uses JSON-based configuration for all components, making it easy to customize and extend.

📚 Documentation

• System Architecture
• Tool Development
• Memory Management
• Module Development
• API Reference

🤝 Contributing

This platform is designed to be extensible. See CONTRIBUTING.md for guidelines.

📄 License

MIT License - see LICENSE for details.