👋 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) 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.