Qurio Knowledge Engine

Example Use Cases

• 1

  Fast, local access to trusted documentation without privacy risks.

• 2

  That require hybrid keyword and vector search to retrieve precise code and API references.

• 3

  That benefit from seamless integration via the Model Context Protocol (MCP) for enhanced coding assistance.

Description

Qurio is an open-source, privacy-first knowledge engine that runs locally to ingest and serve handpicked heterogeneous documentation to AI agents via the Model Context Protocol (MCP). It supports hybrid search combining keyword and vector embeddings, smart crawling, OCR for scanned documents, and a user-friendly dashboard for managing sources. By running locally, it ensures data privacy, reduces latency, and improves AI code generation accuracy by providing grounded context.