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Wren AIAn open-source SQL AI agent and cloud solution enabling teams to access and explore data insights through conversational queries.

4.6 (5)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated June 2026

Overview

Wren AI is an open-source SQL AI agent and cloud solution that enables teams to access and explore data insights through conversational queries. It provides real-time dashboards, drill-down, roll-up, and global filters, making it possible for non-technical users to ask questions in plain English and get instant insights. The platform is built on an agentic GenBI design, which constructs context automatically and flows into every answer. This context is shared across all users, providing a single source of truth for the entire organization. Wren AI is designed to be extensible, with support for 20+ data sources, such as BigQuery, PostgreSQL, and Amazon Redshift. It also features agent-agnostic and dialect-agnostic capabilities, allowing users to interact with the platform in a way that feels natural to them. The platform is governed at execution, meaning that data access and usage policies are enforced at query time, ensuring that users only see the data they are authorized to access. Wren AI's architecture is designed to provide transparency and accountability, with all interactions stored in a unified data policy repository. This makes it possible to track who saw what, which query produced which number, and more. The platform also supports collaboration, with features like reusable workflows, skills, and memory. Wren AI's features include a variety of applications, such as Vibe-coded dashboards, that can be built in one prompt. It also supports agent-friendly architecture, with tools and scripts that run inside an isolated environment. The platform also features Git-native and file system support, allowing users to manage versions of skills, memory, and semantic models. Finally, Wren AI offers support for multi-tenant cloud, private cloud, and air-gapped on-prem deployments, making it a flexible and scalable solution for organizations of all sizes. One of the key benefits of Wren AI is its ability to provide a governed context layer, self-service in Slack and Teams, and a roadmap that can be defended to the board. This makes it an ideal solution for organizations that want to ship 'AI for analytics' without ripping out their warehouse or trusting a black box. Wren AI's capabilities include but are not limited to: context construction, sandboxed, multi-step reasoning, reusable workflows, Vibe-coded dashboards, skills, memory, and Git-native file system support. It is designed to be a scalable and flexible solution that can be customized to meet the needs of organizations of all sizes.

Key features

  • Context construction
  • Sandboxed, multi-step reasoning
  • Reusable workflows
  • Vibe-coded dashboards
  • Support for 20+ data sources
  • Unified data policy

Pricing

Model
Freemium
Category
AI Agents
Rating
4.6 / 5 (5)

Use cases

Natural Language Database Queries

Allow team members to ask questions in plain language and receive SQL-generated answers, removing the need to write queries manually.

Self-Service Data Exploration

Empower non-technical staff to explore datasets and uncover insights through a conversational interface without relying on data analysts.

Accelerated BI Reporting

Help analysts quickly generate SQL queries and surface key metrics, speeding up dashboard creation and ad-hoc reporting workflows.

Open-Source Data Agent Deployment

Self-host an AI SQL agent within an organization's cloud environment to keep data private while enabling conversational analytics.

Pros & Cons

Pros

  • Governing context layer
  • Self-service in Slack and Teams
  • Dialect-agnostic and agent-agnostic
  • Extensible support for 20+ data sources
  • Support for multi-tenant cloud, private cloud, and air-gapped on-prem

Cons

  • Limited community support for such an open source project as Wren, may lead to a steeper learning curve compared to proprietary solutions
  • Dependent on the technical expertise to install and configure

Reviews

4.6

Average from 5 ratings.

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Fatima Zahra

Fatima Zahra

May 12, 2026

Does the job

Pretty happy overall. The API just works and it saves real time. but no dealbreakers — I'd recommend it to a friend without hesitating.

Elena Rossi

Elena Rossi

Apr 21, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the integrations, and it saves real time caught me off guard. The docs could be deeper is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Naomi Suzuki

Naomi Suzuki

Oct 31, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is the dashboard — handled better than most — and support is responsive. Worth the time if this is your use case.

TA

Tariq Aziz

Oct 22, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the integrations, and the value for money is strong caught me off guard. still, I'd recommend giving it a real trial.

MB

Marcus Bell

Jun 23, 2025

Use it every day

Honestly didn't expect to like it this much. The onboarding is exactly what I needed, and it saves real time. I do wish the docs could be deeper, but I reach for it almost every day now and it just clicks.

Q&A

Do API requests cost extra?

No. With concurrent session licensing there is no separate per-call API charge to calculate. Requests made through the API platform—including third-party integrations such as Slack and any custom applications or AI agents you build—count toward your concurrent session license, exactly like usage in the UI, Teams, or MCP. Your license is based on the number of simultaneous active sessions rather than named users or metered API calls, so you can scale across the UI and the API without tracking call counts.

Asked by Stella Papadopoulos · Aug 25, 2025

What is a concurrent session?

Concurrent session licensing is based on the number of simultaneous active sessions rather than named users, offering more flexibility across your organization. A concurrent session is a single LLM-driven request to Wren AI, including answering a question or producing an analytical output (chart, summary, report, or GenBI App), counted from the start of the request to the return of its output, whether made in the UI or through an API, Teams, Slack, or MCP endpoint. AI-assisted authoring tools such as the Modeling AI Assistant and AI Advisor do not count. As a general reference, 1 concurrent session typically supports around 5 active users. However, actual requirements vary depending on query frequency and peak usage patterns. The Enterprise Plus plan starts at 10 concurrent sessions.

Asked by Valentina Marino · Aug 8, 2025

How do credit resets and billing cycles work?

At the end of each billing cycle (your subscription period, e.g., monthly or annually), we will reset and recalculate your remaining credits to align with your plan’s renewal: 👉 Monthly Plan: Any unused credits will be recalculated and rolled over, up to a maximum of twice your monthly plan allowance. 👉 Annual Plan: Credits do not roll over and will be fully reset at the start of each new billing cycle.

Asked by Beatriz Costa · Jul 31, 2025

Will Wren AI credits roll over to the next month?

If you don’t use all your Wren AI credits in a given month, you can roll them over, up to twice your current monthly plan allowance. However, the roll-over mechanism applies only to monthly plans; unused credits in an annual plan do not roll over across billing cycles. Note: Monthly free credits do not roll-over to next month, will expire by end of each month.

Asked by Halime Yalcin · Jul 26, 2025

What is the difference between Cloud and OSS version?

When deciding between Wren AI Cloud and self-hosting the Wren AI Open Source (OSS) version, it's essential to understand the trade-offs and benefits of each option. Please check out the guidance here!

Asked by Timur Nazarov · Jul 25, 2025

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