How much is Neural OS?

Neural OS is listed for sale at $750 USD.

Neural OS - Sell Project

Name: Neural OS
Price: 750 USD
Availability: InStock

Listed January 10, 2026

About Neural OS

Crash-proof, offline RAG engine for searching massive document archives.

The Problem: Local AI tools often crash on consumer hardware because they try to load entire vector indexes into RAM. This hits a "RAM Wall" at around 10,000 files, making them useless for large archives. The Solution: Neural OS is a local RAG engine built with a "Zero-Copy" architecture. Instead of holding everything in memory, it uses SQLite FTS5 for storage and streams quantized vectors only when needed. Why it works: By decoupling storage from compute, the architecture is designed to handle 100,000+ files (PDF, DOCX, PPTX) on a standard CPU without the memory spikes typical of other vector databases. Features: Hybrid Search: Fuses Keyword (BM25) and Semantic search to find both concepts and exact error codes. Privacy First: Runs 100% offline. No API keys or cloud data transfer. Crash-Proof Design: Built to handle large datasets by offloading memory to disk. What is included: Complete Source Code: The Python script and requirements. Setup Guide: Simple text file explaining how to install and run it. Architecture Notes: A text file explaining the "Zero-Copy" logic so you know how it works. Ownership Rights: I transfer all rights to you. You can modify, resell, or open-source it as you please.

Project details

Built with: Python,Streamlit,SQLite,PyTorch,Scikit-learn,plotly,NLP

Next step: 1. Sell to Law Firms & Finance: Wrap the script in a simple installer (EXE) and sell it as "Air-Gapped Search Software" to companies that cannot use Cloud AI due to privacy laws. This is a high-ticket B2B market. 2. Agency "Secret Weapon": If you run an agency, use this tool to process client data (cleaning, sorting, and analyzing 100k+ files) in minutes instead of weeks. 3. Add a UI Wrapper: The backend is decoupled. You can easily build a React/Electron frontend on top of this API to create a polished consumer desktop app like "MacGPT" or "ChatPDF Desktop."

For sale

Asking price: $750 USD

What's included

All related data, Source code

Reason for selling

I am a backend architect, not a marketer. I built this engine to solve a specific technical challenge (running RAG locally without high RAM usage). Now that the architecture is validated and the code is stable, I am selling the asset so I can move on to my next R&D project. I want to hand it off to an entrepreneur who has the time to build a customer base around it.

Project metrics

Average Monthly Revenue: Pre-revenue