🤖 Data Agents Platform

https://github.com/user-attachments/assets/f591bc23-3a19-43eb-9c92-e4b5bb3ba57f

✨ Features

• 🤖 Multi-agent collaboration - Engage with specialized data engineering agents
• 🔄 Multiple backend support - Connect to OpenAI, Claude, Gemini or Ollama for private deployments
• 🔗 n8n integration - Use n8n workflows for agent orchestration
• 🎯 Strategy-based approach - Different strategies for various data engineering tasks
• 🌙 Modern dark UI - Beautiful, responsive interface inspired by LobeChat
• 🚀 Docker ready - Easy deployment with Docker Compose

🚀 Quick Start

The fastest way to get started is using Docker Compose:

# Clone the repository
git clone https://github.com/HotTechStack/dataagents.git
cd dataagents

# Start the application
docker-compose up -d

🔧 Setup Steps

1. Once the containers are running, go to n8n at http://localhost:5678

2. Upload the workflow from the agents/n8n/conversations directory

3. Configure your API keys:

   • In Docker Compose: update OpenAI/Claude/Gemini key
   • In n8n workflow: click on OpenAI/Claude/Gemini model block and add your key
   • See n8n documentation for more details

4. Visit http://localhost:3000 and start interacting with your agents!

🧩 Running Locally

If you prefer running the application without Docker:

# Clone the repository
git clone https://github.com/HotTechStack/dataagents.git
cd dataagents

# Install dependencies
pnpm install

# Start the development server
pnpm run dev

You can still use your own hosted n8n instance or the Docker integrated version while running the frontend locally.

🧠 Available Agents

• Data Architect - Designs data infrastructure and systems
• Pipeline Engineer - Builds efficient data pipelines
• Data Analyst - Analyzes and interprets complex data
• Data Scientist - Applies statistical models and machine learning
• Governance Specialist - Ensures data quality and compliance

🎯 Strategy Types

🔮 Upcoming Features

We're actively working on the following enhancements:

• 🎯 Strategy Types - More Strategy Types backend for debate and Continuous Discussion
• 📝 Code Execution - Run and test code snippets directly in the chat
• 🔄 Workflow Builder - Create custom agent workflows with a visual editor
• 🌐 Multi-source Data Connectors - Connect to various data sources
• 🏗️ Data Engineering Specific MCP Server - Optimized for data engineering workflows
• 🧠 Deep Thinking for Data Engineering - Enhanced reasoning capabilities for complex data problems
• 💾 Database with histories - Persistent conversation storage with vectordbs for semantic search and caching

🧩 Architecture

The application is built with a modern stack:

• Frontend: Next.js 14 with App Router, TypeScript, Tailwind CSS, Shadcn UI
• State Management: Zustand for global state
• Orchestration: n8n for workflow management
• AI Integration: OpenAI, Claude, Gemini and Ollama support

🤝 Contributing

Contributions are always welcome! Here's how you can help:

1. Fork the repository
2. Create a new branch: git checkout -b feature/amazing-feature
3. Make your changes and commit them: git commit -m 'Add amazing feature'
4. Push to the branch: git push origin feature/amazing-feature
5. Open a pull request

🐛 Bug Reports

If you encounter any issues, please help us improve by creating a bug report.

Include as much information as possible:

• Steps to reproduce
• Expected behavior
• Actual behavior
• Screenshots if applicable
• Environment details (browser, OS, etc.)

📜 License

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