DataMCPServerAgent

A comprehensive AI agent system built with reinforcement learning, multi-agent coordination, and cloud integration capabilities. This project provides a modern, scalable platform for building intelligent agents that can learn, adapt, and collaborate to solve complex tasks.

🚀 Features

Core Capabilities

• Multi-Agent System: Coordinate multiple specialized agents for complex tasks
• Reinforcement Learning: Advanced RL algorithms including DQN, PPO, and meta-learning
• Cloud Integration: Deploy and scale across AWS, Azure, and Google Cloud Platform
• Real-time Communication: WebSocket support for live agent interactions
• Memory Systems: Persistent and distributed memory with semantic search
• Tool Integration: Extensible tool system with performance tracking

Advanced Features

• Brand Agent Platform: AI-powered conversational agents for marketing
• Trading System: Algorithmic trading with TradingView integration
• Document Processing: Advanced NLP pipeline with vector stores
• Semantic Agents: Context-aware agents with knowledge graphs
• Infinite Loop System: Continuous improvement and content generation

📋 Quick Start

Prerequisites

• Python 3.9+
• Redis (optional, for distributed features)
• Node.js 18+ (for web UI)

Installation

# Clone the repository
git clone https://github.com/your-org/DataMCPServerAgent.git
cd DataMCPServerAgent

# Install Python dependencies
pip install -r requirements.txt

# Install UI dependencies
cd agent-ui
npm install
cd ..

# Copy environment template
cp .env.example .env
# Edit .env with your configuration

Quick Start

# Start the API server
python app/main_consolidated.py api

# Start the web interface
cd agent-ui && npm run dev

# Access the application
# API: http://localhost:8003
# UI: http://localhost:3000

🏗️ Architecture

DataMCPServerAgent follows Clean Architecture principles with Domain-Driven Design:

# Start API server
python app/main_simple_consolidated.py api

# Or start CLI interface
python app/main_simple_consolidated.py cli

📖 Usage Examples

API Server

# Start server with hot reload
python app/main_simple_consolidated.py api --reload

# Check system status
curl http://localhost:8003/health

# View API documentation
# Open http://localhost:8003/docs in your browser

CLI Interface

# Interactive CLI
python app/main_simple_consolidated.py cli

# Available commands:
# - help: Show available commands
# - status: Show system status
# - agents: List available agents
# - tasks: Manage tasks
# - structure: Show system architecture

Reinforcement Learning

# Basic RL mode
RL_MODE=basic python src/core/reinforcement_learning_main.py

# Advanced RL with modern algorithms
RL_MODE=modern_deep RL_ALGORITHM=ppo python src/core/reinforcement_learning_main.py

# Multi-agent learning
RL_MODE=multi_agent python src/core/reinforcement_learning_main.py

🏗️ Architecture

System Structure