Wren AI - Open-Source GenBI Agent ⚡ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered business intelligence in seconds. ️ 😍 Demos https://github.com/user-attachments/assets/f9c1cb34-5a95-4580-8890-ec9644da4160 Watch GenBI Demo 🤖 Features 🤩 Learn more about GenBI 🚀 Getting Started Using Wren AI is super simple, you can set it up within 3 minutes, and start to interact with your data! Visit our Install in your local environment. Visit the Usage Guides to learn more about how to use Wren AI.
| Stars | 17,897 |
| Forks | 2,196 |
| Language | Python |
| Category | MCP 服务器 |
| Quality Score | 53.6076260287706/100 |
| Open Issues | 272 |
| Last Updated | 2026-10-19 |
| Created | 2024-03-13 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~15k |
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WrenAI is GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data s. It is categorized as a MCP 服务器 with 17.9k GitHub stars.
WrenAI is primarily written in Python. It covers topics such as ai-agents, bigquery, business-intelligence.
You can find installation instructions and usage details in the WrenAI GitHub repository at github.com/Canner/WrenAI. The project has 17.9k stars and 2196 forks, indicating an active community.