canner/wrenai is an open-source generative BI (GenBI, Generative BI) engine that turns natural-language questions into SQL and charts that fit business data. It covers more than 20 data sources, including BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift and Databricks. The latest public release tag is wren-pydantic-v0.3.1.
The README describes WrenAI as an open-source generative BI engine for AI agents. Its core structure is a semantic layer with governance applied and an AI context layer. The semantic layer is the layer where business definitions are gathered, and those business definitions and examples are managed as YAML and Markdown files. Through the text-to-SQL path of the context layer it produces SQL that fits business questions and supports dashboard deployment. It also offers a standalone command-line tool and MCP (Model Context Protocol) client integration. It is a Python repository created on March 13, 2024, with 17,930 stars.
However, the license field records only NOASSERTION, so the usage terms cannot be confirmed from repository metadata alone. No release notes are given either, so it is not known what wren-pydantic-v0.3.1 changed. The only recorded score is a momentum of 4.7, the novelty, technical and quality scores are empty, and there is no performance comparison material. So rather than listing it as an adoption candidate right away, it is a project whose license terms and release contents should be checked first.