WrenAI

Open-source generative BI engine that gives AI agents a governed semantic layer for correct SQL and shareable dashboards.

Agent by Canner

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Setup steps are in the repository. Website · Docs · Repository

About

WrenAI supplies agents such as Claude Code and Cursor with a semantic layer and context layer, so they turn business questions into SQL that follows approved metric definitions and then publish the answer as a dashboard. Definitions, enums, joins and examples are stored as reviewable YAML and Markdown in a repo you own. It installs as a Python CLI, connects to more than 20 data sources, and also exists as a commercial cloud and self-hosted edition.

Use cases: data-analysis, database-access, data-visualization

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Fact sheet

Jobs: data analysisREADME
Where you use it: Terminal, Web, APIdocs.getwren.ai
Hosting: Hosted or self-hosteddocs.getwren.ai
Interfaces: mcp, rest-api, agent-skillsdocs.getwren.ai
Open source: YesREADME

Facts extracted by Claude Sonnet 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Signals

Stars: 17,961
Forks: 2,069
Open issues: 186
Last commit: Oct 23, 2026 (7 days ago)
Last release: Oct 23, 2026 (7 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: Other
Repository: github.com/Canner/WrenAI
Website: getwren.ai
Docs: docs.getwren.ai
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README Docs Website github-graphql

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

WrenAI. Agent Mart. https://agentmart.dev/agents/wrenai (last updated 2026-10-24)