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
- October 30, 2026: Stars 17,985 → 18,013, latest release wren-v0.17.1 (October 30, 2026).
- October 27, 2026: Stars 17,954 → 17,985, latest release wren-v0.17.0 (October 27, 2026).
- October 23, 2026: Stars 17,913 → 17,954, latest release wren-core-py-v0.8.2 (October 23, 2026).
- October 20, 2026: Stars 17,901 → 17,913, latest release wren-pydantic-v0.3.1 (October 20, 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.
Repository: https://github.com/Canner/WrenAI. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
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. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.