- 🤖 YETR AI Agent - Your Enhanced Task Runner
🤖 YETR AI Agent - Your Enhanced Task Runner
🤖 YETR AI Agent - Your Enhanced Task Runner
Advanced AI agent system that connects to multiple MCP (Model Context Protocol) servers simultaneously for intelligent task automation.
🌐 Live Website & Interactive Demo
Experience the full interactive demo with:
- 💬 Real-time Chat Interface - Chat with YETR AI agent and get intelligent responses
- 📊 GitHub Analysis Demo - See repository analysis simulation
- 🔗 MCP Integration Examples - Explore multi-server connections
- 📱 Mobile Responsive - Works perfectly on all devices
- 🎯 Intelligent Responses - Context-aware conversation on multiple topics
✨ Key Features
🧠 Advanced AI Engine
- Sophisticated natural language processing
- Intelligent task decomposition and planning
- Context-aware conversation management
- Multi-step automation workflows
🔗 Multi-MCP Integration
- Connect to 50+ MCP servers simultaneously
- Development Tools: GitHub, GitLab, File Systems, Databases
- Productivity: Email, Calendar, Slack, Discord
- Data Sources: Web Search, APIs, RSS feeds
- AI Services: OpenAI, Anthropic, Local models
💬 Interactive Chat Interface
- Real-time streaming responses
- Context memory across conversations
- Quick action buttons for common tasks
- Mobile-optimized design
- Intelligent responses to complex queries
🛠️ Tool Discovery & Orchestration
- Automatic tool discovery across connected servers
- Intelligent routing to optimal tools
- Parallel execution with dependency management
- Error recovery and fallback strategies
🏗️ Architecture
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Frontend │ │ YETR Core │ │ MCP Servers │
│ React/Next.js │◄──►│ FastAPI │◄──►│ GitHub API │
│ TypeScript │ │ PostgreSQL │ │ Databases │
│ Tailwind CSS │ │ Redis Cache │ │ File Systems │
└─────────────────┘ └─────────────────┘ └─────────────────┘
Technology Stack
- Frontend: React 18, Next.js 14, TypeScript, Tailwind CSS
- Backend: FastAPI, Python 3.11+, PostgreSQL, Redis
- AI/ML: OpenAI GPT, Custom NLP models, spaCy
- Infrastructure: Docker, Kubernetes, GitHub Actions
- Deployment: GitHub Pages, Vercel, Netlify
🚀 Quick Start
Try the Live Demo
Visit yethikrishna.github.io/yetr-ai-agent to experience YETR immediately.
Local Development
-
Clone the Repository
git clone https://github.com/yethikrishna/yetr-ai-agent.git cd yetr-ai-agent -
Frontend Setup
cd frontend npm install npm run dev -
Backend Setup
cd backend pip install -r requirements.txt uvicorn app.main:app --reload -
Docker Setup (Recommended)
docker-compose up -d
💬 Interactive Chat Demo Features
The live website includes a fully functional chat demo where you can:
- Ask about GitHub Analysis: "Can you analyze my GitHub repositories?"
- Request Deployment Help: "How can you help me deploy my project?"
- Explore MCP Integration: "What MCP servers can you connect to?"
- Get Architecture Info: "Explain your system architecture"
- Learn About Features: "What are your main capabilities?"
Intelligent Response Categories:
- 📊 GitHub Analysis - Repository insights and code quality assessment
- 🚀 Deployment Guidance - Multi-platform deployment strategies
- 🔗 MCP Integration - Server capabilities and connection details
- 🏗️ Architecture - Technical system design and components
- ⚡ Features - Core capabilities and functionality
- 🤝 Help & Support - General assistance and guidance
📊 Use Cases
Development Automation
- Repository analysis and code quality assessment
- Automated deployment across multiple platforms
- CI/CD pipeline optimization
- Code review and documentation generation
Project Management
- Task orchestration across multiple tools
- Progress tracking and reporting
- Team collaboration workflow automation
- Resource allocation optimization
Data Integration
- Multi-source data aggregation
- Real-time synchronization between systems
- API orchestration and management
- Custom workflow creation
🔧 Configuration
MCP Server Setup
YETR supports connection to multiple MCP servers. Example configuration:
{
"mcp_servers": {
"github": {
"type": "github",
"token": "your-github-token",
"capabilities": ["repositories", "issues", "pull_requests"]
},
"database": {
"type": "postgresql",
"connection": "postgresql://user:pass@host:port/db",
"capabilities": ["query", "insert", "update", "delete"]
}
}
}
Environment Variables
# Database Configuration
DATABASE_URL=postgresql://user:password@localhost:5432/yetr
REDIS_URL=redis://localhost:6379
# Security
SECRET_KEY=your-secret-key
JWT_ALGORITHM=HS256
# AI Configuration
OPENAI_API_KEY=your-openai-key
# MCP Configuration
MCP_CONFIG_PATH=./config/mcp-servers.json
📈 Performance
- Response Time: < 100ms for simple queries
- Throughput: 1000+ concurrent conversations
- Scalability: Horizontal scaling with load balancing
- Availability: 99.9% uptime with failover mechanisms
🛡️ Security
- Authentication: JWT with refresh tokens
- Authorization: Role-based access control (RBAC)
- Encryption: TLS 1.3 for all communications
- Input Validation: Comprehensive sanitization
- Rate Limiting: Protection against abuse
📖 Documentation
Available Guides
- 🚀 Quick Start Guide
- 🏗️ Architecture Overview
- 🔗 MCP Integration Guide
- 🚀 Deployment Guide
- 🔧 API Reference
Live Documentation
Visit the Documentation Section on our website for interactive guides and examples.
🤝 Contributing
We welcome contributions! Please see our Contributing Guidelines.
Development Setup
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests and documentation
- Submit a pull request
Areas for Contribution
- New MCP server integrations
- UI/UX improvements
- Performance optimizations
- Documentation enhancements
- Bug fixes and testing
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🌟 Acknowledgments
- MCP Protocol: Built on the Model Context Protocol standard
- OpenAI: AI capabilities powered by GPT models
- React Community: UI framework and ecosystem
- FastAPI: High-performance Python web framework
📞 Support & Contact
- Website: yethikrishna.github.io/yetr-ai-agent
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Email: Available through GitHub profile
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