A trust layer that converts database schemas into governed semantic models, enabling AI to generate accurate SQL queries with explanations. Run locally or self-host with Docker for secure data access.
agami-core is a semantic layer platform that bridges AI systems and databases by transforming raw database schemas into governed semantic models. It enables AI assistants like Claude to generate correct SQL queries and provide transparent explanations (receipts) for every answer, ensuring accuracy and accountability in data operations.
Clone the repository from GitHub and install dependencies. Configure your database connection details in the environment file. Deploy locally for development or use Docker to set up a self-hosted team server. Connect your AI assistant to the agami-core endpoint via the MCP protocol.
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