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WrenAI

WrenAI is an open contextual layer that provides AI agents with the semantics, memory, and governance needed for business data queries.

🌍 OverseasFreeOpen sourceData开源数据分析SQL多数据源
Platforms: WebSelf-hosted
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Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 15.4k
Source
GitHub
Added
2026-06-05
Last verified
2026-06-05
GitHub
github.com/Canner/WrenAI
WrenAI

Overview

WrenAI is an open contextual layer that equips AI agents with the semantics, memory, and governance required for business data queries. It addresses the challenge of agents not understanding the meaning of enterprise data by offering rich schema retrieval, plan validation, and structured error messaging to ensure query accuracy. Suitable for building agent-based GenBI, text-to-SQL conversion, dashboards, and analytical tools.

Key features

  • ▪Open-source core and SDK
  • ▪Supports multiple data sources
  • ▪Provides rich schema retrieval
  • ▪Version-controlled definitions and examples
  • ▪Integrates with existing data warehouses

Use cases

Building agent-based GenBIImplementing text-to-SQL conversionCreating data analytics dashboardsConducting agent-driven data analysis

Pros

  • ＋Supports multiple data sources
  • ＋Easy integration with existing systems
  • ＋Provides detailed error messages
  • ＋Version-controlled definitions and examples

Limitations / notes

  • －Requires some technical background
  • －Depends on existing data warehouses

Who it's for

Data analystsDevelopersData scientistsBusiness analysts

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

What data sources does WrenAI support?

WrenAI supports over 20 data sources.

Is WrenAI open source?

Yes, both the WrenAI core and SDK are open-sourced under the Apache-2.0 license.

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