canner/wrenai

AI代理开源GenBI

您的代理生成受控的SQL，部署仪表盘，并在Git中保存业务定义，涵盖22+个数据源。

只需3个指令即可开始 ↓  ·  阅读文档 →  ·  加入Discord →

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WrenAI 是什么

WrenAI 是开源的 生成式 BI（GenBI）引擎。它为你已经使用的 AI 代理（Claude Code、Cursor、MCP 客户端、LangChain）提供一个受控语义层和AI 上下文层，因此它们将业务问题转化为正确的 SQL，将答案作为可共享的仪表盘发布，并且保持在你的保护范围内。

模式告诉代理数据存放在哪里。Wren告诉它数据意味着什么：批准的度量定义、枚举、单元、连接、已处理的示例，以及埋藏在文档和聊天线程中的部落知识。所有这些都作为可审查的YAML和Markdown存在于你拥有的仓库中。

快速开始

三个命令，然后你的代理执行剩下的。支持Claude Code、Cursor、Cline、Codex以及50+其他代理。

1.安装CLI

根据需要添加连接器配件，比如pip install "wrenai[postgres,memory]"。

2.教你的经纪人关于Wren的知识

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What WrenAI is

WrenAI is the open-source generative BI (GenBI) engine. It gives the AI agents you already use (Claude Code, Cursor, MCP clients, LangChain) a governed semantic layer and an AI context layer, so they turn business questions into correct SQL, ship the answer as a shareable dashboard, and stay inside your guardrails.

Schemas tell an agent where data lives. Wren tells it what the data means: approved metric definitions, enums, units, joins, worked examples, and the tribal knowledge buried in docs and chat threads. All of it lives as reviewable YAML and Markdown in a repo you own.

Quickstart

Three commands, then your agent does the rest. Works with Claude Code, Cursor, Cline, Codex, and 50+ other agents.

1. Install the CLI

pip install wrenai

Add connector extras as you need them, for example pip install "wrenai[postgres,memory]".

2. Teach your agent about Wren

npx skills add Canner/WrenAI

This installs a ~50-line discovery stub. Your agent fetches full workflow guides from the CLI on demand, so instructions always match the installed version.