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wren-engine
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wren-engine

Active·★ 660·Apache-2.0·Updated 2026-05-06

Wren Engine is an open context engine for AI agents that transforms business data into agent-usable context. It captures business definitions, metrics, relationships, and access rules, enabling agents to understand models and generate accurate queries. The engine supports MCP, HTTP APIs, and can be embedded into various agent workflows.

wren-engine sits in the Dev Tooling category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Semantic modeling with MDL for business context. A representative use case is Natural language analytics with trusted business definitions. The listed license is Apache-2.0. GitHub stars are currently 660. Relevant tags include agent, agentic-ai.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

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#agent#agentic-ai#ai#business-intelligence#data#data-analysis#data-analytics#data-lake
↗ Visit site★ GitHub
01

Features

01Semantic modeling with MDL for business context
02Intent analysis and query planning across multiple data sources
03MCP interface for AI agents and MCP-compatible clients
04Supports 18+ data sources including PostgreSQL, Snowflake, BigQuery, etc.
05Governed query execution with respect for access rules
02

Why choose it

+Semantic modeling with MDL for business context
+Intent analysis and query planning across multiple data sources
+Natural language analytics with trusted business definitions
+Supports 18 platforms or runtime environments.
03

Trade-offs

!The page does not expose a concrete install command, so setup steps may need to be verified in the official docs.
04

Compatibility

Amazon S3
Amazon S3
Verified via docs
Apache Spark
Spark
Verified via docs
Apache Doris
Doris
Verified via docs
Athena
Athena
Verified via docs
BigQuery
BigQuery
Verified via docs
ClickHouse
ClickHouse
Verified via docs
05

Use cases

↳Natural language analytics with trusted business definitions
↳AI copilots answering questions across governed enterprise data
↳Agents generating dashboards, reports, and workflow decisions
06

Alternatives

⚡Top VS:
VSpgmcp★541→VSholaOS★11.5k→VSmcp-server-starrocks★195→

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wren-engine
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The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.

660Apache-2.0
Last commit5mo ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
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