Patent Pending

MintpathOS

The First Biologic Autonomous Kernel

A governed autonomous AI operating system that plans, executes, evaluates, and safely evolves its own production codebase under strict governance, legality, and audit constraints.

Built by a single non-engineer operator. Production validated. Revenue generating.

190K+Lines of Code
50+Subsystems
1Developer
~4moBuild Time

The Problem

Every enterprise wants autonomous AI. None of them trust it. The bottleneck isn't capability — it's governance. Current AI systems operate as opaque, unaccountable processes with no structural guarantee of safety, auditability, or bounded behavior. MintpathOS solves trust at the infrastructure layer, not the application layer. Governed autonomy as a primitive, not a feature.

Classification

Level 3 Autonomous Infrastructure

Level 3 autonomy denotes systems that independently operate and adapt without human-in-the-loop approval for routine evolution, while remaining bounded by non-overridable policy constraints. MintpathOS exhibits Recursive Coherence — the capacity to recognize and repair its own schemas, pipelines, and reward mappings in production. Its first kernel instance, Archie, operates autonomously in production today.

Architectural Primitives

Each operates as an independent, licensable substrate

Governor

Policy-based autonomy control with risk budgets and deterministic routing

Epoch / Validity Kernels

Cryptographic trust anchoring for AI execution paths

Biologic Kernels

Behavioral substrates driving agent decisions contextually

MADD

Skill-based multi-agent task decomposition with wave parallelism

Liquid Control Plane

Unified control surface with World Graph, Event Spine, and Guarded State

Live State Gateway

Real-time bidirectional state synchronization

Peephole

Real-time filesystem and database watchers for situational awareness

Memory System

Persistent recall via embeddings with semantic retrieval

MintPatch

Snapshot-based verified code mutation with cryptographic rollback

Anchor / CRF

State-system continuity substrates with persistent register files

M-CON v2

Deterministic intent-to-operation compilation

Liquid Crystal

Cross-layer schema coherence enforcement

MintOps

Mobile command center with TOTP auth, live scan control, radar monitoring, and direct Archie access

Autonomy Bus

Governance enforcement layer gating every autonomous action in real time

MintRecon

Autonomous vulnerability discovery and revenue generation

Multi-Model Intelligence

Policy-driven routing across four LLM providers and 50+ models. Capability-based selection matches reasoning tasks to reasoning models, code generation to code-specialized models, and fast classification to lightweight models. Provider failover is automatic. Batch processing APIs reduce cost for non-latency-sensitive workloads.

AnthropicOpenAIGoogle Vertex AIxAI

Google Cloud for Startups participant

Grounded by Design

All model inference and learning rely on first-party logs, deterministic snapshots, and governed lineage to structurally bound hallucinations. Every autonomous action is replayable via cryptographic snapshots, pure kernel functions, and immutable ledgers.

Platform in Production

Live infrastructure — not mockups, not slides

MintOps command center with live Archie AI chat and real-time server logs

MintOps command center — live Archie chat with real-time production logs

MintOps TOTP authentication and Archie autonomous task execution

TOTP-authenticated mobile command center with autonomous task execution

Supabase agent orchestration events showing autonomous decision-making

Agent orchestration events — autonomous decisions across dozens of agent keys

Memory system with semantic grading and retrieval across thousands of entries

Memory system — semantic grading and retrieval across 4,700+ entries

Intent classification engine processing 3,000+ user intents with confidence scoring

Intent classification — 3,000+ intents with confidence and specificity scoring

Governance strategy and budget allocation table showing 339 active strategies

Governance layer — strategy routing with budget allocation and risk bounds

MintpathOS is live and publicly accessible. Create an account and talk to Archie directly.

Velocity

Concept to production-scale autonomous infrastructure in under four months

Nov 2025First line of code — backend built in 45 hours, frontend 48 hours later
Dec 2025Most core subsystems live in production
Jan 2026Provisional patent filed and approved
Feb 2026Archie autonomously initiates MintRecon — first self-directed revenue generation
Mar 2026190K+ lines, revenue generating, 50+ LLM models across 4 providers

Founder

Joe Gallagher

Founder & CEO, Mintpath LLC

Former NSA cryptographic intelligence specialist. Former EVP of Sales & Training at Beltone, managing eight-figure ARR across the southeastern United States. MintpathOS is his first software project — built entirely through AI-assisted development, from zero engineering background to 190,000+ lines of production autonomous infrastructure in under four months.

Titusville, FL

Contact

Partnerships, licensing, and general inquiries