{"repo":"AgamiAI/agami-core","free":true,"listed":false,"github":"https://github.com/AgamiAI/agami-core","clone":"git clone https://github.com/AgamiAI/agami-core.git","description":"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.","language":"Python","stars":22,"topics":["analytics","business-intelligence","claude-skills","context-layer","context-layer-for-ai","mcp","nl2sql","semantic-layer","text-to-sql"],"license":null,"category":"mcp-servers","readme_excerpt":"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. Get started in 2 minutes In the Claude Code CLI : In VS Code or Cursor , the two /plugin … commands above don't work from the chat input — type /plugin to open the Manage Plugins dialog and add the marketplace + install the plugin there instead (see Install). The /agami-connect line and everything after it work the same everywhere. That last line returns a governed answer with a receipt (the exact SQL, the joins used, the model version) — and the governance runs before the query, so the kind of silent join mistake an ungoverned agent would hand back as a confident wrong number never reaches you. Two ways to go from here: - 🧪 No database? The commands above answer from a built-in sample — nothing leaves your machine. - 🗄️ Have a database? Run /agami-connect to introspect it into a governed semantic model, then just ask questions. Each path is walked through in full below (Quickstart · Install). What y","default_branch":null,"files":null,"tree":[],"storefront":"/r/AgamiAI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AgamiAI/agami-core/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}