Automated business intelligence with artificial intelligence
Developed by Canner, WrenAI is an open-source generative business intelligence (generative BI) tool that automatically exports data into panels and charts by converting natural language into database queries (text-to-SQL). The platform provides reliable data analytics processes for AI agents through a manageable context layer that supports more than twenty data sources.
Updates
- September 10, 2026: Stars 17,542 → 17,563, latest release wren-core-py-v0.8.0 (September 10, 2026).
- September 8, 2026: Stars 17,451 → 17,542, latest release wren-v0.14.0 (September 8, 2026).
- September 2, 2026: Stars 17,431 → 17,451, latest release wren-pydantic-v0.3.0 (September 2, 2026).
- August 31, 2026: Stars 17,302 → 17,431, latest release wren-core-py-v0.7.6 (August 31, 2026).
What you get
- Generates reliable SQL queries from natural language
- Automatically converts data into panels
- Supports more than 22 data sources
Installation
pip install wrenai # core (DuckDB included)
pip install "wrenai[postgres,memory]" # add per-datasource and memory extras as needednpx skills add Canner/WrenAI # auto-detects Claude Code, Cursor, Cline, Codex, …If you don't write code
Configure my database connection using WrenAI, create the project skeleton and run my first query. Then enrich the context by including the business logic data in the raw folder into my project.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-20: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.