Open Internet by MindsNet
Canner/WrenAI
Repository: Canner/WrenAI Stars: 16245 Forks: 1843 Primary language: Python Discovery sources: trending:daily Selection score: 81.62 Usefulness score: 9.7 Source confidence score: 3.5 Languages: Python, Rust, HTML, JavaScript, Shell, TypeScript Topics: agent, anthropic, bigquery, charts, context-engineering, duckdb, genbi, llm, openai, postgresql Summary: 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 sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more. README excerpt: <div align="center" id="top"> <a href="https://getwren.ai"> <picture> <source media="(prefers-color-scheme: dark)" srcset="./misc/wrenai_logo_white.png"> <img src="./misc/wrenai_logo.png" width="300px" alt="WrenAI"> </picture> </a> ### Open-source GenBI: generative BI for AI agents. *Your agents generate, deploy, and govern dashboards from any database, grounded in a context layer they can actually trust.* [Docs](https://docs.getwren.ai) · [Discord](https://discord.gg/5DvshJqG8Z) · [Vision](https://www.getwren.ai/post/the-missing-context-layer-for-ai-agents-over-business-data) · [Blog](https://www.getwren.ai/blog) [](LICENSE) [](https://pypi.org/project/wrenai/) [](https://github.com/Canner/WrenAI/releases) [](https://discord.gg/5DvshJqG8Z) [](https://github.com/Canner/WrenAI/commits/main) [](https://x.com/getwrenai) [](https://cannerdata.com)  <a href="https://trendshift.io/repositories/9263" target="_blank"><img src="https://trendshift.io/api/badge/repositori
Computing & Technology, Computer Science, Artificial Intelligence