wren-engine

AI agents can already call tools, browse docs, and write code. What they still struggle with is business context.

Enterprise data is not just rows in a warehouse. It is definitions, metrics, relationships, permissions, lineage, and intent. An agent that can connect to PostgreSQL or Snowflake still does not know what "net revenue", "active customer", or "pipeline coverage" actually mean in your company.

This is not just our thesis. In Your Data Agents Need Context, a16z argues that data agents break down when they only have connectivity and SQL generation, but lack business definitions, source-of-truth context, and the operational knowledge that explains how a company actually runs.

Wren Engine exists to solve that gap.

It gives AI agents a context engine they can reason over, so they can:

• understand models instead of raw tables
• use trusted metrics instead of inventing SQL
• follow relationships instead of guessing joins
• respect governance instead of bypassing it
• turn natural language into accurate, explainable data access

This is the open source context engine for teams building the next generation of agent experiences.

People often compare Wren Engine to catalog services like DataHub, raw database MCP servers, BI semantic tools, or text-to-SQL agents.

The simple difference is:

• those tools usually help an agent find data or generate SQL
• Wren Engine helps an agent understand business meaning and produce the right query through a context engine

Many teams will want both:

• a catalog to inventory and document the data estate
• Wren Engine to turn that data into agent-ready context

Why that matters:

• more accurate answers because joins and metrics are defined instead of guessed
• more consistent answers because every agent uses the same business definitions
• safer data access because governance can be carried into query planning
• less prompt engineering because the context lives in the engine, not in the prompt

Without Wren, an agent may know where the data is but still not know how to answer the question correctly.