// devtools · Canner/WrenAI

WrenAI

WrenAI est un projet de développement open source, créé par Canner (Canner/WrenAI sur GitHub). Il compte 17 823 étoiles sur GitHub et 2 040 forks, il est publié sous la licence NOASSERTION et a été mis à jour pour la dernière fois sur GitHub le 8 octobre 2026.

GenBI for AI agents - governed text-to-SQL and dashboards through an open context layer

★ 17,8 k étoiles⑂ 2,0 k forksNOASSERTIONmis à jour oct. 2026

Voir sur GitHub ↗Official site ↗

▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.

// détails du projet

Détails du projet

Dépôt: Canner/WrenAI
Étoiles GitHub: 17 823
Forks: 2 040
Licence: NOASSERTION
Dernière mise à jour sur GitHub: 8 octobre 2026
Catégorie: Développement
Type de fiche: Guide d'installation complet
Site officiel: Official site

// fonctionnement

Comment ça marche

Model your context
Decide which tables and business definitions belong in the semantic (MDL) layer.
Get WrenAI
Install the wrenai Python package, or add the agent skills with npx.
Connect a data source
Connect your warehouse or database and author the context with the included skills.
Ask your first question
Pose a natural-language question and inspect the governed SQL and chart it produces.

// fonctionnalités

Pourquoi on l'adore

Governed text-to-SQL

Questions are answered through a curated semantic layer, so generated SQL respects defined models and rules.

20+ data sources

Works across BigQuery, Snowflake, PostgreSQL, ClickHouse, Redshift, Databricks, DuckDB and more.

GenBI dashboards

Produces dashboards and charts, including browser-side apps powered by the WASM build of the engine.

Knowledge and memory

Keeps version-controlled instructions and saved queries, plus a local LanceDB memory index with hybrid retrieval.

Agent SDKs

Integrates with LangChain/LangGraph and Pydantic AI, with agent skills for context authoring.

Git-based workflow

Bind a directory once, then git push deploys to Wren Cloud - git is the interface.

// lancez-le

Lancez-le vous-même

Clone the repository
Get the source code from GitHub and enter the project directory.
```
git clone https://github.com/Canner/WrenAI.git
cd WrenAI
```
Install the SDK
The Python SDK and CLI install from PyPI.
```
pip install wrenai
```
Or add the agent skills
Give your coding agent the WrenAI skills for context authoring.
```
npx skills add Canner/WrenAI
```

// cas d'usage

Ce que vous pouvez créer

Let analysts ask a Snowflake warehouse questions in plain English with governed SQL
Give an AI agent safe, semantic-layer access to production data
Generate a KPI dashboard from a natural-language brief
Version-control your BI context (instructions and saved queries) like code

// faq

Questions fréquentes

Who maintains this project?

It is maintained by Canner (the Wren AI team) on GitHub.

Is it free to use?

The open-source core is free - the README's License section states Apache 2.0, while Wren Cloud and some enterprise features are commercial under the project's open-core model.

Does it need a paid API key?

You need credentials for your own data warehouse/database and an LLM for question answering; WrenAI itself does not sell query tokens.

How does it compare to alternatives?

Compared with raw LLM text-to-SQL, WrenAI's semantic layer and governed execution primitives (dry-plan validation, row limits, structured errors) are designed to make agent-generated SQL trustworthy.

How do I get started?

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Obtenir WrenAI

Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.

Voir sur GitHub ↗← Plus d'outils développement