QWE-BrAIn

QWE-BrAIn: Data-Provenance-First Enterprise AI

A self-hosted, sovereign, and defense-grade AI assistant platform built to prevent model collapse and safeguard your organization's proprietary intellectual property.

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Core Technical Features

Data Provenance Engine

Track the exact lineage of your knowledge. Classify data into PRIMARY (authoritative human-generated sources like textbooks, PDFs, and Obsidian vaults) and SECONDARY (synthesized AI records, scratchpads, and agent logs) to prevent model collapse.

Commit to Brain Curation

Incorporate a secure human-in-the-loop review system. Curation loops allow administrators and users to explicitly validate AI insights and write them back into the local Obsidian workspace, upgrading them to PRIMARY status.

Local-First RAG Hierarchy

Prioritize local primary sources in retrieval and search. All external web-search tools are strictly gated behind explicit user approval, keeping your private context safe from external leakage.

Multi-Gateway Operation

Deploy secure Telegram bots, Slack Socket Mode gateways, and multi-profile embeddable web widgets with granular RAG directory scoping. Ground LLMs locally using LanceDB vector stores.

Enterprise Security & Design

Engineered to guarantee strict data containment and defense-grade infrastructure protection.

Zero Hardcoded Credentials

A secure 'First Sign-On' bootstrapping initialization flow removes static admin passwords. Features an offline, cryptographically generated Master Recovery Key to rescue admin accounts without SSH.

Application-Level Encryption

All sensitive database fields, user keys, and configuration secrets are encrypted at rest with AES-256-GCM. Native Node.js APIs (e.g. crypto) are leveraged to eliminate native compiled exploits.

Sovereign Monorepo Stack

Built as a modular TypeScript monorepo combining React, Prisma ORM, and LanceDB. Connects to Ollama, Llama.cpp, or OpenRouter, keeping your private corporate context 100% local.

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