W
WrenAI
Canner/WrenAI
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.
★17.2kstars
Python
NOASSERTION
Updated: Today
📋 Project at a Glance
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What's this?A ai-agents/bigquery tool in the AI Applications category, built with Python, open-source
Who made it?Maintained by Canner team, 17.2K⭐ on GitHub, #54 out of 1371 in AI Applications
Why does it exist?The Canner team recognized that existing ai-agents tools in AI Applications were hard to use. WrenAI was designed to make bigquery more accessible.
What can it do?Key use cases: business-intelligence, charts, clickhouse
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/Canner/WrenAI | 官网 https://www.getwren.ai/en/open-core
🔗 github.com/Canner/WrenAI | 官网 https://www.getwren.ai/en/open-core
Topics
ai-agentsbigquerybusiness-intelligencechartsclickhousecontext-engineeringdashboarddatabricksduckdbgenbigenerative-aillmmcppostgresqlragsemantic-layersnowflakesqltext-to-sqltext2sql