I’ve been developing a software full-time focusing on elevating open source LLMs to understand large and diverse directories locally, using advanced RAG systems. Implemented with code and document understanding

The value for end-user being:

  1. load up any local LLM model and point it at any project directory
  2. When done indexing, talk with agent regarding your project
  3. Get answers grounded in reality (with citations).
    ** fully air-gapped, 100% offline - zero data shared.**

My aim being letting users to utilize AI models securely on their local folders, using their own hardware - without sharing information.

I made this account to discuss ideas within the field, as well as document my development (no spam - promise). Preparing for alpha release very soon

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Joined 6 days ago
Cake day: June 24th, 2026