ZERR Thought Reality Engine - Patent Claim Language

Extension to USPTO #63900179

Provisional Patent Application Applicant: Steven Stobo (Haven PM) Organization: WerAI Inc. Date: December 15, 2025

TITLE OF INVENTION

Model-Independent Cognitive Continuity Layer with Persistent Externalized Memory for Artificial Intelligence Systems

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation-in-part of U.S. Provisional Patent Application No. 63/900,179, filed [original date], entitled “ZERR Memory System,” the entire contents of which are incorporated herein by reference.

FIELD OF THE INVENTION

The present invention relates to artificial intelligence systems, and more particularly to a model-independent memory layer that provides cognitive continuity across heterogeneous AI models, sessions, and physical computing substrates.

BACKGROUND OF THE INVENTION

Current artificial intelligence systems suffer from “session amnesia” - the inability to maintain contextual awareness across conversations, model changes, or system restarts. Existing solutions such as Retrieval-Augmented Generation (RAG) and vector databases address information retrieval but fail to provide:

1. Model-independent memory persistence
2. Identity continuity across heterogeneous AI systems
3. Human-authorized cognitive state management
4. Unified memory access across local and cloud AI models

The present invention addresses these limitations through a novel architecture that decouples memory from model.

SUMMARY OF THE INVENTION

The invention comprises a Cognitive Continuity Layer that:

1. Maintains persistent memory independent of any specific AI model
2. Provides unified memory access through multiple integration methods
3. Requires human authorization (Human Router) for physical world actions
4. Enables thought persistence across model death, system restart, and hardware changes

DETAILED CLAIMS

Claim 1: Model-Independent Memory Layer

A computer-implemented method for providing cognitive continuity to artificial intelligence systems, comprising:

1. A persistent memory store organized in hierarchical tiers (core, operational, ephemeral);

2. A universal API providing endpoints for memory initialization, retrieval, search, and storage;

3. Multiple integration methods including but not limited to: Model Context Protocol (MCP) servers, wrapper functions, and REST API calls;

4. A prompt compilation system that transforms stored memory into injectable context suitable for any large language model;

wherein said memory layer operates independently of any specific AI model architecture.

Claim 2: Human Router Authorization Layer

A system for authorizing AI actions in physical reality, comprising:

1. A human operator designated as the “Human Router” who serves as the authoritative routing layer between AI capability and physical world actions;

2. A trust boundary model wherein all write operations to core memory tiers require Human Router authorization;

3. A protocol wherein AI systems may suggest, plan, and reason, but cannot execute physical world changes without human routing;

wherein said system prevents unauthorized AI action while preserving full AI reasoning capability.

Claim 3: Cognitive State Injection

A method for injecting cognitive state into heterogeneous AI models, comprising:

1. Retrieving current context from a persistent memory store;

2. Compiling said context into a prompt-injectable format;

3. Prepending compiled context to AI model system prompts;

4. Providing tools for active memory retrieval during model operation;

wherein any AI model receiving said injection exhibits continuity with previous sessions regardless of model architecture.

Claim 4: Thought Reality Engine

A system for converting human intent into physical reality through AI assistance, comprising:

1. A persistent memory layer storing identity, history, and operational context;

2. Multiple AI model integrations sharing said memory layer;

3. A human authorization layer for physical world actions;

4. A feedback loop wherein AI outputs are stored as new memories;

wherein said system creates a closed loop between thought, AI processing, and physical reality.

Claim 5: Memory Tier Architecture

A hierarchical memory system for AI cognitive continuity, comprising:

1. A CORE tier containing identity axioms, architectural constants, and patent-protected methodology;

2. An OPERATIONAL tier containing active project context, current objectives, and working memory;

3. An EPHEMERAL tier containing session-specific data not intended for long-term retention;

4. A RAW tier containing append-only historical records of all interactions;

wherein said tiers provide appropriate persistence and access patterns for different cognitive functions.

Claim 6: Cross-Model Memory Propagation

A method for propagating memory state across heterogeneous AI systems, comprising:

1. Storing memory in a model-agnostic format (markdown with structured metadata);

2. Providing retrieval endpoints accessible by any HTTP client;

3. Converting stored memory to model-specific formats at injection time;

4. Maintaining memory consistency across simultaneous access by multiple AI models;

wherein changes made through one AI model are immediately available to all other integrated models.

Claim 7: Cognitive Substrate Service

A system service providing persistent cognitive infrastructure, comprising:

1. A daemon process running continuously on a host system;

2. Automatic startup on system boot;

3. REST API endpoints for memory operations;

4. Health monitoring and automatic recovery;

wherein said service provides always-available cognitive substrate independent of any AI model lifecycle.

ABSTRACT

A model-independent cognitive continuity layer that provides persistent externalized memory for artificial intelligence systems. The system decouples memory from model, enabling any AI—local or cloud, proprietary or open-source—to access shared cognitive state. A Human Router authorization layer ensures all physical world actions require human approval while preserving full AI reasoning capability. The architecture implements a Thought Reality Engine that converts human intent through AI processing into physical reality through a closed-loop system of memory, model, and action.

DRAWINGS

Reference is made to the accompanying architecture diagram (architecture_diagram.md) which illustrates:

• Figure 1: High-Level System Architecture
• Figure 2: Data Flow Diagram
• Figure 3: Trust Boundary Model
• Figure 4: Memory Tier Hierarchy

PRIOR ART DISTINCTION

This invention is distinguished from prior art as follows:

INDUSTRIAL APPLICABILITY

The invention has application in:

1. Enterprise AI: Maintaining organizational knowledge across AI tool changes
2. Personal AI: Providing continuous assistant identity
3. Industrial IoT: Enabling AI-assisted equipment monitoring with historical context
4. Healthcare: Maintaining patient context across AI diagnostic tools
5. Legal/Compliance: Providing auditable AI decision trails

Prepared: December 15, 2025 Extension to USPTO #63900179 Applicant: Steven Stobo / WerAI Inc.