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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 PlansOpen Source

01 Edition

Commercial Plans

Wren AI Cloud and self-hosted enterprise editions — team workspaces, governance, integrations, and the full API surface.

Read the Commercial docs

02 Edition

Open Source

The open-source GenBI agent and MCP-native context layer — run it yourself, wire it to your agents, extend it.

Read the Open Source docs

03 Start building

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Commercial PlansCloud & self-hosted · for teamsAll Commercial docs
01Connect your dataSnowflake, BigQuery, Postgres, Databricks, and more sources.02Build on the APIProgrammatic access to questions, threads, and results.03Embed GenBIShip conversational analytics inside your own product.
Open SourceSelf-hosted · free foreverAll Open Source docs
01QuickstartInstall Wren AI and ask your first governed question in minutes.02Model your semanticsDefine models, relations, and metrics your agents can trust.03Use with your agentPlug Claude Code and other agents into Wren AI over MCP.

04 Agent-ready

Wire your agents to the warehouse — through one context layer.

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

05 Community

GitHubStar, fork, contributeDiscordAsk the communityBlogGenBI deep divesStatusCloud availability