Developers presented a knowledge management system based on FastAPI

Developers have published knoweldge-base — a system for organizing local knowledge bases, built on the FastAPI and SQLite stack. The project is focused on creating structured data stores with support for preview and file management functions.

The solution's architecture includes a built-in authentication system based on JWT to ensure secure access. Local file storage is used to store data, allowing the system to be deployed without external cloud dependencies. The project supports uploading various file formats and their subsequent indexing.

A key feature of the implementation is the presence of a read-only MCP service (Model Context Protocol). This allows the knowledge base to be integrated directly with AI agents, providing them with context for work without the need for manual data transfer. The system is designed as a lightweight tool for local development environments.

The project's code is available in an open repository under a free license. The tool is intended for developers who need to organize a local RAG pipeline or a structured database for agent systems working in an isolated contour.