WrenAI
Open core generative BI engine that turns natural-language questions into SQL, charts and dashboards through a modeled context layer.
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About WrenAI
WrenAI is an open-source generative business intelligence engine that converts natural language questions into SQL queries, charts, and dashboards. It supports over 20 data sources including Snowflake, BigQuery, PostgreSQL, ClickHouse, Databricks, and Amazon Redshift. The tool operates through a modeled context layer that ensures consistent answers based on shared business definitions, allowing teams to query data without moving or transforming it. Users can ask questions in plain English and receive live dashboards that support drilling down and filtering.
Developers and AI agents can access WrenAI through multiple interfaces, including the Model Context Protocol (MCP), making it usable by ChatGPT, Claude, Gemini, Slack, and Teams, as well as custom applications. The tool is developed by Canner and is written in Python. It operates on an open core model with both free and paid tiers available.
Checked 28 October 2026.
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- Replace Looker with AI-generated dashboards? What one team's eight months measured, and which BI jobs stay
One team's agent-written dashboards reached 156 weekly users against Looker's 157 by October 2026, at about $0.53 of tokens each. Looker stayed.