Overview

TAIL.ai is a comprehensive platform for building, testing, and deploying AI agents through an intuitive visual interface. Create sophisticated workflows without coding, from simple chatbots to complex multi-agent systems.

Features

🧠 Agent Catalog

• 8 core agent types with live demos
• 60+ AI components and integrations
• Pre-built agents marketplace
• Technical deep-dives and documentation

⚡ Workflow Composer

• Drag & drop visual workflow builder
• LangGraph-compatible workflows
• Real-time node configuration
• Template library with working examples

🚀 Live Playground

• Execute workflows in real-time
• Performance metrics and cost tracking
• Live execution logs and debugging
• Multi-model support (OpenAI, Anthropic, Cohere)

📖 Story Mode

• Cinematic narratives of AI solutions
• Interactive chapter-based learning
• Real-world use case demonstrations
• Technical implementation guides

Quick Start

Prerequisites

• Node.js 18+
• MongoDB
• Git

Installation

1. Clone the repository

   git clone https://github.com/TejasS1233/TAIL.ai.git
   cd TAIL.ai

2. Setup Backend

   cd server
   npm install
   cp .env.example .env
   # Edit .env with your configuration
   npm run dev

3. Setup Frontend

   cd ../client
   npm install
   npm run dev

4. Access the application

   • Frontend: http://localhost:3000
   • Backend: http://localhost:8000

Architecture

Frontend (React + Vite)

• Modern React 19 with TypeScript support
• Tailwind CSS + shadcn/ui components
• Framer Motion animations
• Real-time WebSocket connections

Backend (Node.js + Express)

• RESTful API with JWT authentication
• MongoDB with Mongoose ODM
• Real-time workflow execution
• Multi-provider AI integrations

Core Components

Agent Types

• Retrieval Agent: RAG pipelines with vector databases
• Reasoning Agent: Chain-of-thought orchestration
• Planner Agent: Hierarchical task decomposition
• Tool-Using Agent: External API integrations
• Multi-Agent Orchestrator: Coordinated agent workflows
• Autonomous Agent: Goal-driven continuous execution
• Creative Agent: Content generation with novelty scoring
• Safety Agent: Content moderation and risk assessment

Integrations

• LLM Providers: OpenAI, Anthropic, Cohere, HuggingFace, Ollama
• Vector Databases: Pinecone, Chroma, FAISS
• Tools: Web search, calculators, code execution, file processing
• Memory Systems: Conversation buffers, summaries, vector storage

Development

Project Structure

TAIL.ai/
├── client/          # React frontend
│   ├── src/
│   │   ├── pages/   # Main application pages
│   │   ├── components/ # Reusable UI components
│   │   └── utils/   # Utilities and helpers
├── server/          # Node.js backend
│   ├── routes/      # API route handlers
│   ├── models/      # Database models
│   └── middleware/  # Express middleware
└── docs/           # Documentation

Available Scripts

Frontend

• npm run dev - Start development server
• npm run build - Build for production
• npm run preview - Preview production build

Backend

• npm run dev - Start development server with nodemon
• npm start - Start production server
• npm run test - Run tests

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

• 📧 Email: tsss1552@gmai.com

• 🐛 Issues: GitHub Issues

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