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