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Wren AI

Wren AI is the governed data agent shared by people and AI agents. Teams use Wren's built-in GenBI agent for plain-language answers, dashboards, and GenBI Apps. AI agents (Claude, ChatGPT, Gemini, or a customer's own) call Wren as a sub-agent over MCP to query their databases. Both get the same governed answer from one context layer the customer owns and versions in git. The context engine is open source (github.com/Canner/WrenAI, 17K+ stars); the commercial platform runs that same engine and ad

For agents: Wren AI: governed GenBI data agent exposing databases to AI agents over MCP via an open-source context engine; docs cover product, pricing, on-premise and embed

genbitext-to-sqlmcpsemantic-layergoverned-analyticsopen-source

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T11:07:51.776Z. Cached copy · Source on getwren.ai

# Wren AI

> Wren AI is the governed data agent shared by people and AI agents. Teams use Wren's built-in GenBI agent for plain-language answers, dashboards, and GenBI Apps. AI agents (Claude, ChatGPT, Gemini, or a customer's own) call Wren as a sub-agent over MCP to query their databases. Both get the same governed answer from one context layer the customer owns and versions in git. The context engine is open source (github.com/Canner/WrenAI, 17K+ stars); the commercial platform runs that same engine and adds GenBI Apps, agentic mode, AI-assisted context preparation, the UI, enterprise governance, and support. Works across 20+ data sources, deployed in Wren AI Cloud, a private VPC, or fully air-gapped on-premise.

Key facts:
- Category: governed data agent for people and AI agents; GenBI (Generative BI) and agentic analytics; open context layer (context engine)
- Open core: the context engine, MDL context modeling, core text-to-SQL pipeline, MCP server, CLI, and 20+ connectors are open source, aimed at individual developers and used through the CLI (no UI); the commercial platform, built for teams and enterprises, adds GenBI Apps, agentic mode, context preparation, the UI and dashboards, access control with user and group management, row- and column-level security, advanced security, and support
- Business definitions live in MDL files in the customer's own git repo, so there is no vendor lock-in
- Deployment: Wren AI Cloud (managed, 7-day free trial), VPC, or air-gapped self-hosted (Enterprise Plus, licensed by concurrent sessions with unlimited users)
- LLM-agnostic (OpenAI, Anthropic, Google Gemini, local models) and agent-agnostic (Claude, ChatGPT, Gemini, Cursor, or any MCP client calls Wren as a sub-agent)

## Key pages

- [Open-core strategy](https://getwren.ai/open-core): Why the engine is open source, what is commercial, and how open core removes black-box and lock-in risk versus cloud-locked AI analytics
- [Product: GenBI agent and MCP](https://getwren.ai/genbi): Wren's GenBI agent for your team, and MCP access for your AI agents, on one governed context layer
- [Pricing](https://getwren.ai/pricing): Cloud plans (7-day free trial) and self-hosted Enterprise Plus
- [Wren AI vs. alternatives](https://getwren.ai/versus): Comparison with ChatGPT, Claude, Gemini, Tableau, Power BI, Looker, ThoughtSpot, Databricks Genie, Snowflake Cortex, and more
- [On-premise GenBI](https://getwren.ai/on-premise): Sovereign, air-gapped deployment with local models
- [Embedded GenBI](https://getwren.ai/embedded): White-label conversational analytics and APIs for your product
- [Industry use cases](https://getwren.ai/industries): Manufacturing, banking and finance, healthcare, retail, media, automotive
- [Blog](https://getwren.ai/blog): Engineering and product articles

## Documentation

- [Full site index for LLMs](https://getwren.ai/llms-full.txt): Every page's title, description, and FAQs, plus the gallery and blog index, generated from site content
- [Op
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