🤖 Data Agents Platform
About
Data Agents are intelligent assistants built by data engineers to help non-data professionals navigate the organization’s data infrastructu
Details
- License
- MIT
Explore
- 🤖 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
The fastest way to get started is using Docker Compose:
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!
If you prefer running the application without Docker:
bash
pnpm install
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https://github.com/user-attachments/assets/f591bc23-3a19-43eb-9c92-e4b5bb3ba57f
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<h3>💬 Data Agents, Really!</h3>
<p>Data Agent is an agentic AI harnessing GenAI to automate and streamline data engineering workflows.
By delivering complete, well-prepared data requests, it saves time and reduces bottlenecks across teams.</p>
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✨ 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:
```bash
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