AI Infrastructure · GitHub ·15,531 ★

WrenAI

Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.

Details

Author
Canner
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
15,531
First indexed
2026-06-14
Last active
2026-06-12
Directory sync
2026-06-14

Overview

Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.

Quick start

git

git clone https://github.com/Canner/WrenAI

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What WrenAI can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Anthropic — anthropic task automation.
  • Bigquery — bigquery task automation.
  • Charts — charts task automation.
  • Context Engineering — context-engineering task automation.

Frequently asked questions

What is WrenAI?
Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.
How do I install WrenAI?
Use git: `git clone https://github.com/Canner/WrenAI`. Full setup details on the source page linked above.
Is WrenAI open source?
WrenAI is published on GitHub.
What are alternatives to WrenAI?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for WrenAI is sourced from GitHub, published by Canner.

Last scraped: · First indexed:

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