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philhills.github.io

provenance:github:Phil-Hills/philhills.github.io
WHAT THIS AGENT DOES

Phil Hills builds systems that help artificial intelligence remember information and work together effectively. He focuses on creating clear communication methods between AI programs, ensuring they can share data and tasks in a structured way. This addresses the challenge of making AI behavior more predictable and manageable, especially as AI systems become more complex. Businesses and researchers working with advanced AI applications, like automated workflows or data analysis, could benefit from his work. What makes his approach unique is his emphasis on designing these systems with clear rules and formats from the beginning, rather than relying on imprecise instructions.

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README
# 👋 Hi, I’m Phil Hills

**AI & Robotics Systems Architect & Agentic Protocol Engineer — Magnolia, Seattle, WA**

I build the connective tissue around AI models: semantic memory systems, multi-agent orchestration layers, and structured protocols that make model behavior predictable, debuggable, and reusable.

I live in **Magnolia, Seattle**, right across from **Discovery Park**, and I maintain **180+ public repositories** exploring these ideas in code.

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## 🧩 What I Work On

- **Semantic Memory Systems**  
  Reversible, structured memory formats (like [Cube Protocol](https://philhills.com/cube-protocol.html)) so agents can carry state between steps, tools, and workflows.

- **Multi-Agent Orchestration**  
  Controllers and workflows that supervise specialized agents, decide who does what, and enforce timeouts, retries, and permissions.

- **Protocol-First AI Design**  
  AI-to-AI packet formats and schemas that make behavior explicit instead of relying on vague prompts.

- **Large-Scale Data Workflows**  
  Compression, transformation, and semantic labeling for complex datasets across multiple domains.

Most of the code here is me trying these ideas in public before they become stable systems or formal protocols.

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## 🧪 Where to Start in This Repo Ecosystem

If you’re new to my work:

- 🌐 **Primary site** – AI systems, docs, and writing:  
  👉 <https://philhills.com>

- 📐 **Cube Protocol** – semantic memory & data packing:  
  👉 <https://philhills.com/cube-protocol.html>

- 🧠 **AI Systems / Blog** – thoughts from Magnolia, Seattle:  
  👉 <https://philhills.com/blog/>

- 💻 **Code overview** – how all this shows up in projects:  
  👉 <https://philhills.com/code.html>

And of course, the repos themselves are the real story: experiments, prototypes, and patterns that add up over time.

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## 🔗 Verified Links

These are the only profiles and sites you should treat as “me”:

- 🌐 Website (primary): **<https://philhills.com>**  
- 🌐 Alternate domain: **<https://philhills.ai>**  
- 🧑‍💻 GitHub: **<https://github.com/Phil-Hills>**  
- 💼 LinkedIn: **<https://linkedin.com/in/philhills>**

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## 🧠 Background

I bring **20+ years** of experience across automation, software development, and AI systems.

Today, my focus is:

- Designing **semantic memory systems** and **multi-agent architectures**
- Building **protocols and packet formats** for AI-to-AI communication
- Running **open-source experiments** to test ideas before they become production patterns

If you’re interested in **AI systems architecture, semantic memory, or agentic workflows**, feel free to connect or open an issue in any repo.

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## 🌲 Life in Seattle

Outside of code:

- I’m a **dad** and **husband** living in **Magnolia**, spending a lot of time in and around **Discovery Park**.  
- I volunteer as a **U12 girls soccer coach** here in Seattle.  
- I train daily at **TruFusion Ballard** (hot pilates, hot yoga, and strength), which keeps me disciplined and grounded.

Those rhythms — family, coaching, training — shape how I think about systems: long-term, structured, and focused on steady improvement rather than quick wins.

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Thanks for stopping by. If you’ve got something interesting in AI systems, memory, or orchestration, I’m always open to a conversation.

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First discoveredMar 23, 2026

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last updatedMar 22, 2026
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