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Wren AI documentation

Governed GenBI on a
context layer you own.

Guides for Wren AI Cloud, self-hosted Enterprise and the open-core engine underneath, from your first data-source connection to production-grade, agent-ready analytics.

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Running the open-source engine? Open Source docs

Two editions, one context layer

One context layer, ready for your whole team

Recommended for teams

Wren AI Commercial

The governed GenBI agent for the whole company, in Wren AI Cloud or your own infrastructure. Business users ask in a web UI, Slack or Teams; agents ask over MCP and the API. SSO, per-user row and column security, audit logs, accuracy tracking and vendor support are built in.

Read the Commercial docs
Open core · Inspect it, run it locally

Open source engine

The open-core engine and MDL context layer underneath every edition. Read the code, run it from the CLI with your own agents, and keep your definitions portable. When your team needs it, the same project moves to Commercial unchanged.

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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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