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Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Conversational AI that turns natural language into SQL and charts
Wren AI lets you ask any database in plain language and instantly receives precise SQL, visual charts, and AI‑generated insights, accelerating data‑driven decisions.
Wren AI is a generative BI agent that enables data analysts, developers, and product teams to interact with any supported database using natural language. By translating questions into accurate SQL and rendering charts on‑the‑fly, it removes the need for deep SQL expertise and speeds up insight discovery.
The platform combines a semantic layer that encodes schema, metrics, and joins with flexible LLM integration (OpenAI, Anthropic, Gemini, Ollama, and more). This ensures LLM‑generated queries stay consistent and governed. An extensible API lets you embed query‑and‑chart generation into custom applications, SaaS products, or chatbots, while AI‑written summaries turn raw results into decision‑ready reports.
Wren AI can be self‑hosted in minutes or consumed via the managed cloud service. It supports major data warehouses such as Snowflake, BigQuery, PostgreSQL, and more. Backed by an active Discord community and a permissive AGPL‑3.0 license, contributors can extend functionality or help shape the roadmap.
When teams consider Wren AI, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Ad‑hoc data exploration
Business users ask natural‑language questions and receive SQL, charts, and AI summaries within seconds.
Automated reporting
Schedule API calls to generate weekly visual reports and narrative insights automatically.
Embedded analytics in SaaS products
Developers integrate the API to provide chat‑based data insights directly inside their applications.
Governed metric calculations
MDL models enforce consistent joins and metric definitions, reducing errors across the organization.
It works with Athena, Redshift, BigQuery, DuckDB, PostgreSQL, MySQL, SQL Server, ClickHouse, Oracle, Trino, Snowflake, and more.
Yes, you can configure any supported LLM provider, including OpenAI, Anthropic, Gemini, Ollama, Bedrock, and others.
Wren AI offers a managed cloud service alongside the self‑hosted open‑source version.
The project is licensed under AGPL‑3.0.
Star the repository, open issues for bugs or ideas, and submit pull requests following the contribution guidelines.
Project at a glance
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