Everything you need to install, customize, and scale Wren AI’s Agentic Analytics Platform — from self-hosting guides to release notes and our public roadmap.
Wren AI OSS is the community-driven foundation for conversational and semantic analytics. Designed to be LLM-agnostic and developer-first, it gives you full control to self-host, customize, and extend Wren AI while benefiting from vibrant community contributions and weekly updates.
Install via Docker or CLI; supports macOS, Linux, and Windows
Text-to-SQL engine, semantic modeling, dbt integration, and extensible APIs
10K+ GitHub stars, 1,500+ Discord members, and global contributors
OSS flexibility with project isolation, RLS/CLS, and governance-ready design
With Wren AI’s Embedded AI API, any plain-language question becomes SQL, data, and a ready-to-use chart in a single call. It’s the fastest, most secure way to add conversational analytics to your product—under your brand, at scale.
Submit a natural-language query → receive tuned SQL, JSON results, and chart spec.
Build embedded dashboards, AI chat agents, self-serve reporting—in days, not months.
API history logging, key management, and RBAC-ready governance.
Secure for SaaS, customer-facing dashboards, automated reporting to Slack/Teams, and beyond.
Wren AI Commercial delivers enterprise-grade analytics powered by our semantic layer and agentic AI. Whether deployed in the cloud or on-premises, it provides secure data access, collaboration features, and integrations to fit seamlessly into your enterprise environment.
Spin up Wren AI Commercial in the cloud or deploy within your infrastructure
Built-in semantic modeling, data governance, and multi-tenant isolation
Role-based permissions, RLS/CLS, and integrations with enterprise identity providers
Share dashboards, spreadsheets, and insights across teams securely
Explore Wren’s open-source foundation, modular flexibility and developer-friendly tools to build, extend, and embed generative analytics anywhere.
GenBI Agent
Transform natural language questions into precise SQL, charts, and insights—complete with a semantic layer and LLM-agnostic architecture.
Semantic Layer
The semantic powerhouse behind GenBI, enabling AI agents to query business data with context, accuracy, and governance via the Model Context Protocol (MCP).
We believe in building in the open. Explore our public roadmap to track upcoming features, planned releases, and future innovation around the Agentic Analytics Platform.