InvinOS
  • πŸ›‘οΈ Invinos Documentation
  • πŸ“Œ Introduction to Invinos
  • 🌐 Why Invinos Exists
  • 🧱 System Architecture Overview
    • Core Design Layers
      • Network Layer
      • Browser Layer
      • Wallet & Asset Layer
      • Computation Layer (AI)
      • Identity Layer
      • Interface & Dashboard Layer
    • Interface & Dashboard Layer
    • Mobile-First Optimization
  • 🧠 Core App Modules
    • Stealth Browser
    • Privacy VPN
    • zkMixer
    • Ghost Wallets
    • Anonymous DEX
    • Local LLM
    • Context Lock
    • Privacy Dashboard
    • zk-Identity
    • Governance
  • πŸ”„ Workflow: Real User Actions
    • Private Browse Flow
    • Crosschain zkMixer Flow
    • Encrypted AI Interaction Flow
    • Full Privacy Session Example
    • Token Utility and Access Flow
  • πŸ” Who use Invinos?
    • DeFi Traders Avoiding Wallet Tracking
    • Journalists Operating Under Surveillance
    • Mobile Users Seeking Default Privacy
    • Builders and Devs Testing Encrypted Flows
    • Community Contributors Managing DAO Work Privately
  • πŸ’Έ VINOS Tokenomics
    • Supply and Distribution
    • Platform Fee Structure and Holder Tiers
    • Governance and Protocol Evolution
    • Sustainability Through Utility
  • 🧭 Invinos Roadmap 2025.
    • Foundation Layer (Q2 2025)
    • Utility Expansion (Q3 2025)
    • Ecosystem Launch (Q4 2025)
  • 🀝 Get Involved
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  1. 🧱 System Architecture Overview

Core Design Layers

The architecture of Invinos is anchored in six distinct layers, each responsible for preserving privacy at a different level of user interaction. Rather than functioning as a single monolithic system, Invinos distributes responsibility across separate, highly specialized modules. This modularity is not just for performance or flexibility β€” it’s a strategic decision to isolate risk, reduce attack surfaces, and prevent any single point of failure from compromising user privacy.

Each design layer is built with three core goals: eliminate traceability, remove metadata leakage, and empower the user to interact freely across the digital stack. From raw internet traffic to session state, wallet interaction, AI prompts, and digital identity β€” every layer contributes to a coherent privacy environment that adjusts to user needs in real time.

All layers are deeply integrated through the Invinos dashboard, but each can be used individually depending on threat model or operational requirements. This makes Invinos adaptable to a wide range of users, from casual explorers to professionals in sensitive environments.

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Last updated 4 days ago