{"repo":"irahardianto/qurio","free":true,"listed":false,"github":"https://github.com/irahardianto/qurio","clone":"git clone https://github.com/irahardianto/qurio.git","description":"Self-hosted RAG engine for AI coding assistants. Ingests technical docs & code repositories locally with structure-aware chunking. Serves grounded context via MCP to prevent hallucinations in software development workflows.","language":"Go","stars":17,"topics":["agentic-search","ai-agent","document-ingestion","gemini-api","knowledge-base","mcp","mcp-server","model-context-protocol","pdf-parsing","rag"],"license":"MIT","category":"mcp-servers","readme_excerpt":"--- The Open Source Knowledge Engine for AI Agents Built for localhost. Grounded in truth. --- 📖 About Qurio is a self-hosted, open-source ingestion and retrieval engine that functions as a local Shared Library for AI coding assistants (like Gemini-CLI, Claude Code, Cursor, Windsurf, or custom scripts). Unlike cloud-based RAG solutions that introduce latency and privacy risks, Qurio runs locally to ingest your handpicked heterogeneous documentation (web crawls, PDFs, Markdown) and serves it directly to your agents via the Model Context Protocol (MCP) . This ensures your AI writes better code faster using only the context you trust. Qurio features a custom structural chunker that respects code blocks, API definitions, and config files, preserving full code blocks and syntaxes. Why Qurio? Privacy First: Your data stays on your machine ( localhost ). Precision: Retrieves grounded \"truth\" to prevent AI hallucinations. Speed: Deploys in minutes with docker-compose . Open Standards: Built on MCP, Weaviate, and PostgreSQL. ✨ Key Features - 🌐 Universal Ingestion: Crawl documentation sites or upload files (PDF, DOCX, MD). - 🧠 Hybrid Search: Configurable BM25 keyword search with Vector embeddings for high-recall retrieval. - 🎯 Configurable Reranking: Integrate Jina AI or Cohere for precision tuning. - 🔌 Native MCP Support: Exposes a standard JSON-RPC 2.0 endpoint for seamless integration with AI coding assistants. - 🕸️ Smart Crawling: Recursive web crawling with depth control, re","default_branch":null,"files":null,"tree":[],"storefront":"/r/irahardianto","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/irahardianto/qurio/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."}