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ONOX Logical Layers Architecture

This document outlines the hierarchical structure of the ONOX system, designed for maximum autonomy and ease of use (Level 0 experience required).

Layer 0: Infrastructure & Core

  • Environment: Containerized via Docker for cross-platform stability.
  • Orchestration: Vercel for web deployment, local nodes for intensive AI processing.
  • Database: PostgreSQL (Relational) + Neo4j (Graph) for complex agent memory.

Layer 1: Data & Intelligence (The Brain)

  • ONIX Core: The central intelligence hub collecting and processing information.
  • Knowledge Base: Automated ingestion from multiple sources.
  • Privacy Layer: Secure handling of user data and API keys.

Layer 2: Agent Orchestration

  • Agent Roles: Specialized agents (Marketing, Dev, Research, Support).
  • Communication: Inter-agent protocols for collaborative task solving.
  • Autonomous Action: Feedback loops that allow agents to self-correct.

Layer 3: Integration & Automation

  • External APIs: Integration with GitHub, Slack, Discord, and Social Media.
  • Workflow Engines: n8n / custom scripts for triggered actions.
  • Sync Services: Automatic upstream synchronization to keep the platform updated.

Layer 4: Human-AI Interface (The Face)

  • 3D Avatar System: Immersive interaction layer for non-technical users.
  • Voice/Command Control: Natural language processing for system commands.
  • Dashboard: Real-time monitoring of agent activities and ROI.

Layer 5: Growth & Sustainability

  • Social Media Seed: Automated content generation for X, LinkedIn, YouTube.
  • Monetization: Tiered access and micro-investment tracking.

Maintained by the ONOX Internal Team.