SLayer 是開源 (MIT) 語意層,供 AI 代理使用:可嵌入 Python 或作為服務執行,於執行時以公式與衍生查詢檢索記憶,並管理模型。
AI 翻譯
SLayer is the open-source (MIT) semantic layer for AI agents: embed it in Python or run it as a service, query with formulas and derived queries at runtime, retrieve memories, and manage models throug
資料Python · MakefileGitHub @MotleyAI上線中營運者未確認
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可嵌入的、富表達的語義層,供 AI 代理和人類使用。
AI 翻譯
An embeddable, expressive semantic layer for AI agents and humans
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正在載入完整 README。 以下為已儲存的摘錄。
An expressive, embeddable semantic layer for AI agents and humans.
SLayer enables AI-powered data analytics on top of your warehouse. Agents get a governed, shared surface through which they access your data and metrics and give you reliable answers.
SLayer handles database connectivity (read-only), SQL translation, common data transformations, and row-level security, so LLMs and humans don't have to. Adapt it to your workflows, not the other way around. Manage definitions easily with an agent or by yourself.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
An expressive, embeddable semantic layer for AI agents and humans.
SLayer enables AI-powered data analytics on top of your warehouse. Agents get a governed, shared surface through which they access your data and metrics and give you reliable answers.
SLayer handles database connectivity (read-only), SQL translation, common data transformations, and row-level security, so LLMs and humans don't have to. Adapt it to your workflows, not the other way around. Manage definitions easily with an agent or by yourself.檢視完整 README ↗