irahardianto/qurio

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.

43
/ 100
Emerging

This helps software developers and teams integrate their internal documentation and code into AI coding assistants. It takes your technical docs (web crawls, PDFs, Markdown) and code repositories as input, processes them locally, and provides highly accurate, context-aware information to your AI. The output is a more reliable and less 'hallucinating' AI assistant that understands your specific codebase and guides you better.

Use this if you are a software developer, engineering manager, or DevOps engineer who wants to use AI coding assistants with your private, proprietary technical documentation and codebase without sending it to third-party cloud services.

Not ideal if you primarily work with publicly available information or if you are not using AI coding assistants in your development workflow.

software-development technical-documentation AI-assisted-coding developer-productivity knowledge-management
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 13 / 25
Community 15 / 25

How are scores calculated?

Stars

11

Forks

5

Language

Go

License

MIT

Last pushed

Feb 15, 2026

Commits (30d)

0

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