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Wren AI documentation

Build on the open
context layer for GenBI.

Guides, concepts, and reference for Wren AI, from your first data-source connection to production-grade, agent-ready analytics.

Commercial docsOpen Source docs

Two editions, one context layer

Pick where you run Wren AI

Cloud · Self-hosted

Commercial plans

Wren AI Cloud and the self-hosted enterprise edition: team workspaces, governance, integrations, and the full API.

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Open source · Run it yourself

Open source

The open-source GenBI agent and MCP-native context layer. Run it locally, wire it to your agents, extend it.

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Popular destinations

Commercial plansAll Commercial docs
Connect your dataSnowflake, BigQuery, Postgres, Databricks, and more.Build on the APIProgrammatic access to questions, threads, and results.Embed GenBIShip conversational analytics inside your own product.
Open sourceAll Open Source docs
QuickstartInstall the CLI and ask your first governed question.Model your businessDefine models, relationships, and metrics agents can trust.Use with your agentPlug Claude Code, Cursor, Codex and 50+ agents into Wren AI.

Agent-ready

Wire your agents to the warehouse through one context layer.

Every agent gets the same governed access your analysts use: MDL definitions in, trusted SQL and answers out. MCP-native, API-first.

Community

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