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Refactor README to use 'context engine' terminology (Canner#1463)
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README.md

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> Wren Engine is the open foundation behind Wren AI: a semantic, governed, agent-ready context layer for business data.
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<p align="center">
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<img width="1267" height="705" alt="with_wren_engine" src="https://github.com/user-attachments/assets/3a6531fe-4731-4f21-ae9a-786b219f3c0e" />
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<img width="2199" height="1537" alt="engine-architecture" src="https://github.com/user-attachments/assets/302351e7-9ac3-4916-99f6-972d33aee076" />
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</p>
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## Why Wren Engine
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This is not just our thesis. In [Your Data Agents Need Context](https://a16z.com/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.
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<p align="center">
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<img width="920" height="638" alt="without_wren_engine" src="https://github.com/user-attachments/assets/3295dde5-ce41-4e56-a8ad-daff6a0c3459" />
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<img width="888" height="678" alt="before Wren Engine Challenge" src="https://github.com/user-attachments/assets/62e2cbe6-ee28-4417-ba69-805de35d3187" />
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</p>
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Wren Engine exists to solve that gap.
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It gives AI agents a semantic engine they can reason over, so they can:
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It gives AI agents a context engine they can reason over, so they can:
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- understand models instead of raw tables
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- use trusted metrics instead of inventing SQL
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Wren Engine is our open source contribution to that future.
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<p align="center">
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<img width="1267" height="705" alt="with_wren_engine" src="https://github.com/user-attachments/assets/3a6531fe-4731-4f21-ae9a-786b219f3c0e" />
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</p>
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It is the semantic and execution foundation beneath Wren AI, and it is designed to be useful well beyond a single product:
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- embedded in MCP servers and agent workflows
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The simple difference is:
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- those tools usually help an agent find data or generate SQL
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- Wren Engine helps an agent understand business meaning and produce the right query through a semantic engine
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- Wren Engine helps an agent understand business meaning and produce the right query through a context engine
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| Tool type | What it gives the agent | What Wren Engine adds |
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| --- | --- | --- |
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User / Agent
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-> MCP Client or App (OpenClaw, Claude Code, VS Code, Claude Desktop, Cline, Cursor, etc.)
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-> Wren MCP Server or HTTP API
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-> Wren Engine semantic engine
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-> Wren Engine context engine
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-> Query planning and optimization
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-> Your warehouse, database, or file-backed data source
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```
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## Project Status
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Wren Engine is actively evolving in the open. The current focus is to make the semantic engine, execution path, and MCP integration stronger for real-world agent workflows.
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Wren Engine is actively evolving in the open. The current focus is to make the context engine, execution path, and MCP integration stronger for real-world agent workflows.
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If you are building with agents today, this is a great time to get involved.
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- Join our [Discord community](https://discord.gg/5DvshJqG8Z)
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- Open a [GitHub issue](https://github.com/Canner/wren-engine/issues)
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- Explore [Wren AI](https://github.com/Canner/WrenAI) to see the broader product vision
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- Read our mission piece: [Fueling the Next Wave of AI Agents](https://getwren.ai/post/fueling-the-next-wave-of-ai-agents-building-the-foundation-for-future-mcp-clients-and-enterprise-data-access)
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- Read the market thesis from a16z: [Your Data Agents Need Context](https://a16z.com/your-data-agents-need-context/)
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Wren Engine is for builders who believe AI needs better context, not just better prompts.

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