Secure Autonomous AI Browser & Execution Environment
Author: Adam Hatchett
Date of Initial Publication: January 13, 2025
Repository Purpose: Establish prior art, authorship, and architectural provenance
- Quick Start - Start here! Quick overview and navigation
- Platform Overview - ⭐ The Four Pillars explained
- Architecture Details - Detailed technical specifications
- Enterprise Pricing - Hardware, plans, and ROI
- License - Commercial Business License (Business-Only)
- Licensing FAQ - Licensing guide and pricing models
- Prior Art - Prior art establishment and claims
- Component Specs - Individual component documentation
- GitHub Setup - How to publish and establish prior art
- Repository Structure - Complete file organization
- Contributing - Contribution policy
🔒 This is NOT open source.
💼 Commercial license required for business use.
📅 This repository establishes prior art as of January 13, 2025.
This repository documents the original design, architecture, and conceptual framework of the MyMirror Platform, a secure autonomous AI system built around a hardened browser execution vessel.
The ideas, structures, and system relationships described herein were conceived, designed, and authored by Adam Hatchett prior to public release. This documentation is published to establish clear prior art, authorship, and architectural provenance.
MyMirror is not a single application and not merely a security tool.
It is an integrated enterprise platform built on four core pillars that work together as a cohesive system:
- Acts as the autonomous intelligence of the platform
- Observes, detects anomalies, enforces rules
- Self-governing and self-documenting
- The "brain" that coordinates all platform operations
- The containment environment for all AI operations
- Ensures nothing escapes or compromises the enterprise
- Acts like a "micro-OS" for browser-based operations
- The "fortress" that enforces absolute boundaries
- Recursive self-checks, snapshots, and memory governance
- System can explain itself, track its own state, and recover
- Protects against drift, errors, or malicious activity
- The "immune system" that maintains integrity
- Temporary, task-specific agents with strict lifecycle rules
- Coordinated by orchestrator for enterprise-wide security
- Agents dissolve when no longer needed, keeping system safe
- The "workforce" that executes tasks autonomously
Put together, this forms a platform that delivers:
✅ Enterprise-grade security: Proactive, predictive, and AI-driven
✅ Autonomous orchestration: Minimal human intervention required
✅ Self-healing and self-documenting: System knows itself and enforces integrity
✅ Hardware-backed deployment: MyMirror Box ensures every installation is secure and controlled
This is not just security software; it's a new paradigm for how businesses run AI, manage risk, and secure their operations through a browser-centered platform.
Security is the first deployment use case, not the platform's limit.
The Browser is the Vessel.
The AI is the Intelligence.
Enforcement is Absolute.
The platform is built on the principle that control of the execution environment precedes intelligence. Rather than trusting the host operating system, MyMirror establishes a hardened browser-based vessel within which all intelligence, memory, agents, and observation operate.
No component has unrestricted authority.
The platform is composed of intentionally isolated classes, each with strict responsibility boundaries.
Secure host interface layer. No intelligence.
- Provides controlled communication between browser vessel and host system
- Enforces permission boundaries
- Stateless translation layer only
- Cannot make autonomous decisions
Governed memory system with scoped access, lifecycle rules, and predictive retrieval.
- Seven independent memory governors with distinct scopes
- Each governor controls access to specific memory domains
- Prevents unauthorized cross-domain memory access
- Implements temporal decay and relevance scoring
- Predictive memory retrieval based on context
Pattern extraction layer using harmonic ratios and temporal coherence.
- Identifies patterns using harmonic frequency analysis
- Temporal coherence detection across system states
- Non-invasive observation of system behavior
- Provides pattern signals to Simulation Engine
Predictive modeling of possible future states.
- Runs isolated simulations of potential system behaviors
- Predicts consequences of proposed actions
- Evaluates multiple future timelines
- Provides recommendations, not commands
- Sandbox execution prevents simulation interference
Controls information exposure based on trust, context, and necessity.
- Implements least-privilege information access
- Context-aware disclosure policies
- Trust-based revelation of sensitive data
- Prevents information leakage
- Works with Security Manager for threat assessment
Abstracted retrieval across multiple data sources with no direct authority.
- Unified query interface across data sources
- No direct database access
- All queries mediated through governors
- Results filtered by Progressive Disclosure Engine
- Source-agnostic retrieval patterns
Evaluates threat signals and policy compliance.
- Continuous threat signal evaluation
- Policy compliance checking
- Anomaly detection and alerting
- Works with Simulation Engine for threat prediction
- Cannot directly enforce—only recommends to Orchestrator
Isolated runtime for autonomous agents.
- Provides execution environment for agents
- Resource limits and quotas enforced
- Network and storage isolation
- Memory containment per agent
- Cannot persist beyond designated lifecycle
Task-specific, self-dissolving intelligence units.
- Created for specific, bounded tasks
- Temporary existence only
- Self-termination upon task completion or timeout
- No persistent state outside governed memory
- Cannot spawn child agents without Orchestrator approval
Manages agent creation, scope, and termination.
- Controls agent lifecycle from creation to dissolution
- Enforces scope boundaries for each agent
- Monitors agent resource usage
- Triggers agent termination when needed
- Maintains agent audit log in governed memory
Observes rendered browser output only.
- Monitors visual output of browser vessel
- No access to internal state or memory
- Surface-level observation only
- Provides visual anomaly signals
- Cannot modify what it observes
Observes internal system behavior, not external data.
- Monitors internal system metrics and behavior
- Detects internal anomalies and drift
- Observes component interactions
- Provides introspection signals
- No access to user data or external sources
Continuously validates system integrity against its own rules.
- Compares current system state to defined rules
- Detects violations of architectural principles
- Recursive validation of validation systems
- Self-referential integrity checking
- Cannot modify rules—only reports violations
Stateless snapshot and rollback mechanism. Knows nothing except how to snapshot.
- Creates point-in-time system state snapshots
- Enables rollback to known-good states
- No intelligence or decision-making
- Pure mechanical snapshot/restore
- Triggered by Orchestrator only
Coordinates system flow without violating class boundaries.
- Central coordination without centralized authority
- Routes signals between components
- Makes decisions based on component recommendations
- Enforces architectural boundaries
- Cannot directly access component internals
Human interface layer only.
- Provides human-readable system status
- Accepts human commands
- Translates human intent to system operations
- No direct system access—all via Orchestrator
- Progressive disclosure of information to user
Hardened execution vessel and primary security boundary.
- The foundational security perimeter
- Process and tab isolation
- Permission enforcement at browser level
- Controlled network access
- Memory and storage containment
- All AI components run within browser constraints
The Secure AI Browser is the first-class security boundary of the platform.
- Process and tab isolation
- Permission enforcement
- Controlled network access
- Memory and storage containment
- Observation surface exposure only
The browser does not decide. It enforces.
All AI components operate inside browser constraints. The browser cannot be overridden by any component, including the AI.
The AI:
- ✅ Observes system and environment
- ✅ Correlates patterns and signals
- ✅ Predicts future states and outcomes
- ✅ Recommends actions to orchestrator
The AI cannot override browser enforcement.
This prevents:
- ❌ Privilege escalation
- ❌ AI drift and goal corruption
- ❌ Abuse of authority
- ❌ Hidden persistence mechanisms
Autonomous agents are:
- Scoped - Limited to specific tasks and domains
- Temporary - Exist only for task duration
- Non-persistent - Cannot save state outside governed memory
- Self-dissolving - Automatically terminate upon completion or timeout
This mirrors biological and civilizational principles:
Long-lived unchecked agents become unstable.
Persistence exists only in governed memory, not agents.
This documentation establishes prior art for:
- ✅ Browser-based autonomous AI execution vessels
- ✅ Self-governing memory architectures (Seven-Governor Memory)
- ✅ Recursive self-observing AI systems
- ✅ Predictive simulation-driven security enforcement
- ✅ Self-dissolving autonomous agents with enforced lifecycles
- ✅ AI systems that explain their own architecture
- ✅ Progressive disclosure engines for AI systems
- ✅ Harmonic pattern sampling for system behavior analysis
- ✅ Multi-layered observation systems (Screen + Self-Observer)
- ✅ Stateless snapshot mechanisms for AI systems
Every component is isolated by default. Communication happens through defined interfaces only.
No component has more authority than necessary. The browser is the ultimate enforcer.
All system behavior is observable. Hidden state is not permitted.
Agents are temporary. Only memory persists, and only under governance.
Security is proactive through simulation, not just reactive.
Information is disclosed progressively based on context and trust levels.
1. User command enters via MyMirror GUI
2. Main Orchestrator receives command
3. Security Manager evaluates risk
4. Simulation Engine predicts outcomes
5. If approved, Agent Orchestrator creates Autonomous Agent
6. Agent executes in Agent Sandbox
7. Screen Observer + Self-Observer monitor execution
8. Harmonic Sampler extracts patterns
9. Seven-Governor Memory stores relevant data
10. Recursive Self-Check validates integrity
11. Agent self-dissolves upon completion
12. Results returned to user via Progressive Disclosure Engine
At every step, the Secure AI Browser enforces permissions. No component can bypass this.
License: MyMirror Commercial Business License v1.0
License Type: Business-Only Commercial Use - All Rights Reserved
This platform is not open source and requires a paid commercial license for business use.
Enterprise Deployment: Requires dedicated MyMirror Box hardware ($5,000 per box) plus monthly subscription starting at $5,000/month. See ENTERPRISE_PRICING.md for complete details.
Key Terms:
- \u274c No free commercial use
- \u274c No open-source redistribution
- \u2705 Licensed business use only (with paid license)
- \u274c No derivative platforms
- \u2705 Attribution required
- \u2705 Dedicated hardware required for enterprise deployment
Full license terms: See LICENSE.md
Enterprise pricing & plans: See ENTERPRISE_PRICING.md
Contact for licensing: Adam Hatchett
This repository exists to document, timestamp, and preserve the architectural foundations of the MyMirror Platform.
Any derivative implementations should acknowledge this work as prior art.
The principles, class structures, and system relationships described herein represent original architectural thinking by Adam Hatchett.
This is an architectural documentation repository establishing prior art.
For inquiries regarding this architecture, please contact the author.
Contributions: Not currently accepting contributions. This repository serves as architectural provenance documentation.
This document and repository establish the date of public disclosure and architectural authorship.
The commit history of this repository serves as cryptographic proof of the date and content at time of publication.
© 2025 Adam Hatchett. All Rights Reserved.