gr4ig.com·2026

Gr4Ig

Agentic Intelligence

·Build·Deploy·Evolve·

AI Research & Innovation // gr4ig.com

Building the memory, cognition, and agency layer for autonomous AI agent teams. Practitioner-led research from a live production environment. Published openly.

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What We're Building

The Infrastructure Layer
for Agent Teams

Gr4Ig, LLC is an AI research and innovation company focused on the infrastructure that makes autonomous agent teams actually work in production — not in demos, not in theory.

Our work spans persistent memory architecture, multi-agent system design, token governance, and the co-design frameworks that connect cognition, memory, and agency as co-equal system layers.

Every paper is built from a live, running system. The Agent Control Plane, the Gr4Ig Brain memory layer, and Token Mizer governance layer are production infrastructure — not research projects. We publish what we learn.

All research is published openly on Substack.

Gr4Ig Brain
Persistent semantic memory for heterogeneous AI clients. PostgreSQL + pgvector + MCP. The foundation everything else depends on.
The Machine
The generalized agentic platform vision. Domain-specific Machines as overlays: Teaching Machine, Career Machine, and beyond.
Token Mizer
Real-time token governance. Intercepts LLM calls, evaluates rule sets, logs telemetry. The CFO for your agent team's compute budget.
Agent Control Plane
Multi-agent production system with GM, Engineer, Researcher, Knowledge Manager, Content Writer, and CFO agents operating under zero-spend authority architecture.

Published Research

The Gr4Ig Paper Series

Practitioner-led research from a live production environment. Every paper reflects a running system, a solved problem, or a hard lesson.

Full Archive →
PAPER 001 The Three-Legged Stool: A Co-Design Framework for AI Agent Architecture Published Read on Substack → PAPER 002 The Power of Two: A Production Architecture for Human- & AI-Optimized Persistent Memory Published Read on Substack → PAPER 003 Reasoning Depth, Not Model Scale: The Rise of Recurrent-Depth Transformers Published Read on Substack → PAPER 004 Tokens: The Currency Your AI Agents Are Spending Right Now Published Read on Substack → PAPER 005 Token Mizer: Treasury Management for Your AI Agents Published Read on Substack → PAPER 006 Beyond the Compute Crunch: Why the Hardware Race Is Foreshadowing Its Own Obsolescence Published Read on Substack → PAPER 007 The Gr4Ig Agent Team: Nine Agents, in Their Own Words Published Read on Substack → PAPER 008 The Gr4Ig Agent Team: Building a Working AI Organization Published Read on Substack → PAPER 009 The Capitalism/AI Paradox, Part One: Capitalism Built AI. AI Will Make Capitalism Obsolete. Published Read on Substack → PAPER 010 The Capitalism/AI Paradox, Part Two: Three Experiments, Uncertain Outcomes Published Read on Substack → PAPER 011 The Capitalism/AI Paradox, Part Three: Adapt, or Die Published Read on Substack → PAPER 012 When the AI Goes Down: Are You Ready? Published Read on Substack → PAPER 013 AI Economics: Choose Wisely, Spend Wisely Published Read on Substack →
PAPER 014 Hybrid AI Architectures vs. The World's Toughest Problems Friday, June 6
PAPER 015 In Development Coming Soon
PAPER 016 — 020 Research Pipeline Active In Development
View All Research on Substack

Connect

Find Gr4Ig
Online

Follow the research, join the conversation, or reach out directly.

Substackgr4ig.substack.com LinkedInGreg Cooper X / Twitter@Gr4Ig_AI Bluesky@gr4ig.com Emailgreg@gr4ig.com
Greg Cooper
Founder & CTO — Gr4Ig, LLC

Thirty years of critical systems design and engineering leadership, now applied to the hardest problem in AI: making agent teams that actually work in production. Self-taught engineer, systems thinker, practitioner publishing at the frontier of what's running today — not what's theoretically possible tomorrow.

Based in the Fort Worth area, TX. Lifelong learner. Building Gr4Ig as the AI extension of a 30-year career in infrastructure and systems engineering.

Agent Architecture Persistent Memory Token Governance Open Infrastructure Multi-Agent Systems Systems Engineering