Canner/WrenAI

Purpose: Turning natural-language questions into trusted SQL and business intelligence without exposing data to hosted AI services.

Inferred · not functionally tested

Audience: developers and data teams

Inferred · not functionally tested

Functions: data_extraction, analytics, agents

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: commercial_oss · license: Open Source · platforms: API, WEB · deployment: browser, self_hosted, cloud_managed, cli, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: getwren.ai · github.com. These links do not verify the individual claims.

Canner/WrenAI sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: It focuses on turning natural-language questions into trusted SQL and business intelligence without exposing data to hosted AI services. Inferred · not functionally tested: It is built as an open-source project for developers and data teams. Basis unknown · not verified: It follows a commercial open-source model under the Open Source license. Basis unknown · not verified: It runs on the web, the command line, and API, and it can be self-hosted.

It is developed by Canner, and it first shipped in 2022. The project is developed in the open on GitHub with 17.5k stars and 197 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include natural-language queries, text-to-SQL, and Generative BI. Inferred · not functionally tested: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.