Jonathan Barth
Technical Executive | AI Architect | Patent Holder
From military operations to fintech at scale. Principal Architect at PayPal. Technical Director at Schwab. 38 years of building, securing, and scaling enterprise systems — now building Orreth, a governed memory substrate for AI universes, and available for AI architecture leadership — fractional or full-time.
Years Experience
US Patents
Platform Uptime
Orreth Conformance Tests
The Flagship
Orreth — a constitutional layer for long-lived AI institutions
A year of solo building, in the open: an agent's identity survives its process, memory is one signed append-only record with every view a disposable projection, and no external consequence is complete until someone other than the actor observes the world and reconciles it. The machine is three layers — purpose-built capabilities atop a purpose-blind kernel, with resident firmware between them delivering the governance — kept honest by one razor: what you may change in prod. 335 conformance tests hold two implementations to byte-level parity, and every design decision is human-locked on the record.
AI Architecture & Strategy
The layer under the agents
Agent platforms help enterprises run agents. The harder question is the one institutions eventually have to answer: how do you remain the same accountable organization while your agents, models, tools, policies, and memories continuously change? Twenty-five years of identity, risk, and observability at PayPal and Schwab — applied to the layer agentic AI is missing.
Identity & Trust
An agent's process is not its identity. Durable identity survives reboots, model swaps, and years — with authority that chains from a pinned root and can only narrow. AI TRiSM made concrete, not aspirational.
Governed Memory
Logs are not institutional memory. One signed, content-addressed record is the truth; every index and retrieval strategy is a disposable projection. Distillation carries measured loss; answers wear their epistemic status.
Witnessed Consequence
An action is not complete because its executor reports success. Epochs name the exact machine in force; consequential deeds require independent observation and reconciliation; humans hold the gates that matter.
Exploring senior agentic-infrastructure & AI architecture roles — the résumé and the proof-of-work.
Professional Services
Fortune 100 architecture discipline, available for your organization
Featured Projects
Showcasing key architectural achievements
Orreth
An adaptive, self-improving, living universe for AI agents
The flagship — purpose-built capability worlds atop a purpose-blind kernel, ten resident firmware organs delivering the governance between them, seven retrieval strategies racing over one signed truth, forgetting measured in bits, and a human's signature on every consequential change. Live at demo.orreth.ai.
58
Dives
335
Tests
10
Residents
Commander.ai
Mission Control for your AI team
Multi-agent orchestration platform with 8 specialized agents, real-time prompt engineering, and performance analytics.
8
Agents
28
Endpoints
100%
Coverage
WorldMaker.ai
Enterprise Digital Lifecycle Intelligence
Digital lifecycle management platform with MTTD < 0, three-tier attribute system, and enterprise risk intelligence.
41
Endpoints
195
Tests
6
Languages
MCPFarm.ai
Kubernetes for AI Tools
Centralized MCP server orchestration with unified gateway, real-time dashboard, tool-level analytics, and Python SDK.
5
Servers
SSE
Gateway
Python
SDK
ProblemSolver.ai
Five-Agent Reasoning Pipeline
Structured reasoning pipeline with autonomous revision loops — Thinker, Planner, Critic, Solver, Judge — 15 specialized tools.
5
Agents
15
Tools
3
Models
ml-pipeline.ai
Autonomous ML — Raw Data to Trained Model
Self-improving ML pipeline with LLM-powered Critic loop, 6 specialist nodes, Optuna tuning, and Neural Observatory dashboard.
6
Phases
3+
Models
3
Loops