The trust layer between AI and your data. Turns your database schema - messy joins, undocumented tables, into a governed semantic model so AI answers with correct SQL and a receipt on every answer. Run it locally, or self-host a shared team server with Docker.
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The trust layer between AI and your data. Local. Private. Yours.
agami-core is the trust layer between an AI agent and your database — a governed, self-improving semantic model that enforces correct joins, signed-off metric definitions, and a full audit receipt on every answer. Same question, same answer, every time. It builds itself from your live schema, messy or clean. The rules live in the model, not the prompt.
Real enterprise schemas have thousands of tables, mostly undocumented, with columns named col_47 and three definitions of "revenue". That's the problem this solves.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。
The trust layer between AI and your data. Local. Private. Yours.
agami-core is the trust layer between an AI agent and your database — a governed, self-improving semantic model that enforces correct joins, signed-off metric definitions, and a full audit receipt on every answer. Same question, same answer, every time. It builds itself from your live schema, messy or clean. The rules live in the model, not the prompt.
Real enterprise schemas have thousands of tables, mostly undocumented, with columns named col_47 and three definitions of "revenue". That's the problem this solves.檢視完整 README ↗