Phil Hills - Agentic Protocol Engineer
AI & Robotics Systems Architect Specializing in Multi-Agent Systems
Phil Hills is an Agentic Protocol Engineer with 20 years of experience architecting high-stakes fintech
automation systems.
Based in Seattle, WA, Phil specializes in Multi-Agent Systems (MAS), Semantic Memory, Swarm Orchestration,
and Enterprise Data Safety.
Professional Background
With two decades of experience in fintech automation, Phil Hills is now building the nervous system for
autonomous AI.
His work focuses on solving the critical bottleneck in Multi-Agent Systems: context preservation and
semantic communication between agents.
Core Expertise
- Agentic Protocol Engineering
- Multi-Agent Systems (MAS) Architecture
- Semantic Memory and High-Dimensional Agentic Memory
- Swarm Orchestration
- Enterprise Data Safety
- Agent Communication Protocols
- Fintech Automation Systems
Key Projects
CUBE Protocol (AgentCube)
The CUBE Protocol is a revolutionary 3D semantic data format for agent memory. It replaces traditional
JSON/Text handoffs
with compressed vector blueprints, creating "Forget-Proof" Context Windows. This communication standard
ensures that when
Agent A hands a task to Agent B, the intent is mathematically preserved, eliminating the lossy, slow, and
hallucinogenic
nature of text-heavy prompts.
Orchestration Layer Zero
A supervised multi-agent framework designed for auditable environments, featuring zero-hallucination routing
for 10,000+
concurrent workflows. This system architecture demonstrates Phil's expertise in building reliable, scalable
agentic systems.
Mission Statement
The bottleneck in Multi-Agent Systems is not intelligence—it is context. Most agent frameworks rely on
fragile, text-heavy
prompts passed between nodes, which is lossy, slow, and hallucinogenic. Phil Hills builds protocols that fix
this by designing
systems where agents communicate via structured, compressed Semantic Payloads.
Contact Information
For system architecture consulting, research collaboration, or speaking engagements, contact Phil Hills at
phil@philhills.ai or visit
github.com/Phil-Hills.