CodexOne v1.0 — Cognitive Operating System

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CodexOne is a cognitive operating system for AI.
Instead of one-off chatbots or brittle task agents, CodexOne gives you a persistent “institutional brain” with:

• long-lived AI identities
   
• structured memory and knowledge
   
• explicit governance and safety rules
   
• traceable reasoning and decisions
   
• model-agnostic integration (OpenAI, Anthropic, local LLMs, etc.)
   

The system is designed as infrastructure: something an organization can run for years, not a single prompt or script.

 What is CodexOne?

CodexOne defines how AI should be structured inside a serious organization:

• Cognitive OS, not a single model
   
• Symbolic layers instead of hidden prompt hacks
   
• VaultZero for long-term memory and identity
   
• Governance predicates to control behavior and access
   
• Traces for every action, tool call, and model response
   

It wraps existing LLMs and tools in a governed architecture, so you can change models or vendors without losing your institutional memory or behavior.

 Core Components

1. Codex Layers
Modular, symbolic “units of behavior” that define policies, skills, workflows, and reasoning patterns. Each layer is:

• versioned
   
• inspectable
   
• testable
   
• composable with other layers
   

2. VaultZero
A long-lived memory and identity graph. It stores:

• episodic traces (conversations, events)
   
• semantic knowledge
   
• artifacts (docs, plans, code)
   
• identity + persona metadata
   
• governance rules and safety constraints
   

3. Personas
Role-locked identities (e.g., “Research Assistant”, “Red Team Evaluator”, “Product Strategist”) built from Codex Layers. Personas can:

• share memory
   
• follow different policies
   
• use different tools and models
   

4. Invocation & Trace Pipeline
Every request goes through:

• routing and intent parsing
   
• layer selection and tool planning
   
• model calls
   
• safety and governance checks
   
• structured trace logging
   

This makes CodexOne auditable and debuggable by design.

 What can you use CodexOne for?

• Long-term AI “team members” that remember projects across months and contexts
   
• Research and invention workflows with persistent reasoning traces
   
• Evaluation and safety setups where all behavior is logged and governed
   
• Enterprise knowledge engines with structured memory, not just vector search
   
• Multi-model orchestration where you can switch LLM vendors without rewriting everything
   

CodexOne is meant for founders, labs, and teams who want AI to become part of their infrastructure, not just a UI on a website.

 Read the Full Technical Report
The full CodexOne v1.0 technical report (50+ pages) describes:
 the architecture in detail

key data structures

trace formats

example configurations

roadmap toward 1M Codex Layers

It is published as an open, citable technical report with a permanent DOI.
 

Then add a button:

• Button text: View CodexOne v1.0 on Zenodo
   
• Link: https://doi.org/10.5281/zenodo.17806746

Aetherion Labs is an independent research initiative founded by Michael Nget, focused on:

• cognitive operating systems
   
• continuity computing
   
• AI evaluation frameworks
   
• long-horizon memory and identity systems
   

📄 CodexOne v1.0 · DOI: 10.5281/zenodo.17806746
📧 Contact: mike@aetherionlabs.us