Web

Free

Agentic GenBI for Humans and AI Agents

FreeFree tier

Type

Open Source

Visit Website GitHub (40 stars)

About Web

Wren AI is an open-source agentic Generative BI (GenBI) platform designed to make data accessible to both humans and AI agents. It allows users to ask questions in plain English and receive instant charts, dashboards, and insights without requiring SQL knowledge or waiting on a data team. The platform features a context layer that automatically constructs and flows into every answer, ensuring humans and agents stay aligned with the sources of truth. It supports two modes: Human Mode (interactive, governed querying) and Agent Mode (programmatic access via API or SDK). Key capabilities include text-to-SQL with governance at execution, MDL semantics for shared context, 20+ database connectors, reusable skills and memory, sandboxed multi-step reasoning, git-native file-based architecture, and row-level/column-level data security. Wren AI can be deployed as a cloud service or self-hosted, with a free tier and paid plans for growing teams and enterprises.

Key Features

Text-to-SQL with governance at execution

MDL semantics for shared context between humans and agents

20+ database and data warehouse connectors

Sandboxed multi-step reasoning with traceability and replayability

Skills Memory for reusable workflows and compounding context

GenBI Apps: build interactive dashboards from a single prompt

Git-native file system (MDL, skills, memory, instructions as version-controlled files)

Row-level and column-level data control for security

Embedded AI API and MCP integration

Support for both Classic (ad-hoc interactive) and Agentic modes

Pros & Cons

Pros

Open-source with flexible deployment (cloud or self-hosted)
Natural language interface lowers barrier to data access
Strong governance with row/column-level security and audit logging
Both human and agent modes with shared context and policies
Reusable skills and memory save time on repetitive queries
Git-native architecture enables version control and collaboration
Supports a wide range of connectors (20+ databases, dbt, CSV, etc.)

Cons

Free plan is limited (2 projects, 2 members, 10 tables, 20 monthly credits)
Advanced features (row/column-level security, MCP, LDAP) require Enterprise plan
Reliance on semantic modeling (MDL) may require upfront setup for complex schemas
Credits-based pricing for additional usage can be costly at scale

Best For

Ad-hoc data analysis by non-technical team members using natural languageBuilding real-time, governed dashboards for executives (e.g., expansion plans, revenue analysis)Enabling AI agents to query structured data programmatically for automated workflowsData teams providing self-service analytics with row-level security and governanceCreating reusable data skills and memory for consistent analytics across an organization

FAQ

What is Wren AI?

Wren AI is an open-source agentic Generative BI (GenBI) platform that enables humans and AI agents to query data using natural language, producing charts, dashboards, and insights with governance and context.

Is Wren AI free to use?

Yes, Wren AI offers a free cloud plan with 20 monthly credits, 2 projects, 2 members, and 10 tables per project. Paid plans (Essential at $179/month and Enterprise at $559/month) provide more credits and features.

Can I self-host Wren AI?

Yes, Wren AI supports self-hosted deployments. The pricing page offers a self-hosted option with its own plan details (not fully detailed on the page).

How does Wren AI ensure data governance?

Wren AI provides row-level and column-level data control, audit logging, advanced RBAC, and governance at execution for every query, ensuring users and agents only see data they are allowed to access.