20 years in the trenches of security. Now I run a full AI fleet on budget Intel Arc silicon — local models, autonomous agents, a memory brain. All of it mine. The useful pieces ship to GitHub.
A persistent brain that remembers across every tool and agent. Every node is a memory; every edge is a link it made on its own — hybrid semantic + graph recall, self-correcting. The spine the whole fleet runs on.
One glass pane over the entire fleet — voice, vision, live status, cost, and a chat that drives real work. Twelve skins, mobile-ready, wired to every agent in the stack.
Autonomous desktop & fleet agents. Hand it a goal; it plans, executes, and reports — with guardrails clamped on money and anything outbound. Local-first, so most runs cost $0.
Every agent run rides the same closed cycle — pull what's known, act inside guardrails, write the result back. That's why the fleet gets sharper the more it runs.
Guardrails, memory & cost telemetry bolted onto coding agents so they stay safe and cheap.
Local LLM serving on Arc B60 / Battlemage — the tuning & benchmarks that make budget silicon run models.
The useful pieces are public. Ship it, measure it, publish the numbers, keep innovating.
Browser and desktop agents that do real work — within guardrails you control.
Local-first AI infrastructure, cost-controlled and off the cloud treadmill.
Two decades of security discipline, applied to your AI and systems.
SENIOR AI ENGINEER · CYBERSECURITY
Builder of autonomous AI systems with a 20+ year cybersecurity background. I run a full self-hosted fleet on budget Intel Arc hardware — then open-source the parts worth sharing. Always innovating.