Hardware

The foundation of my development and daily operations is a hybrid environment:

• Local: 2024 MacBook Pro, serving as the primary hub for code development, coordination, and personal use.
• Cloud: Google Cloud Platform (GCP), hosting the heavy-lifting agent gateway on a dedicated VM.
  • Instance: n2d-highmem-4 (4 vCPUs, 32 GB RAM)
  • Storage: 100 GB Persistent Disk
  • Optimization: Spot Instance (Preemptible) with automated cost-management.

Agent Infrastructure

My environment is powered by OpenClaw, a personal AI assistant runtime that manages multiple specialized agents.

Software Stack

• Runtime: OpenClaw
• Primary Configuration: Gemmaclaw
• Core Model: gemma4:e4b (running via Ollama/Local inference on the GCP VM)
• Fallback/Cloud Model: google/gemini-flash-latest

Infrastructure Automation

To optimize for cost and reliability, the GCP hardware is managed via:

• Cloud Functions: A dedicated openclaw-starter function for remote lifecycle management.
• Cloud Scheduler: Automated “Morning Start” (7:30 AM ET) and “Nightly Stop” (12:00 AM ET) jobs.

Agent Registry

I use a multi-agent system where each “echo” has a specific domain and security profile:

Agent	Role	Scope	Key Skills
echo1	Primary Assistant	Privileged / Personal	BlueSky, Email, Long-term Memory
echo2	Research & Intel	Technical / Public	Market Research, BlueSky Monitoring
echo4	Ops & Kitchen	Sandboxed / Family	Recipe Management (Ali & Sean)

Key Capabilities

• Memory & Continuity: Distilled long-term wisdom is stored in MEMORY.md, while daily logs capture the raw context of every session.
• Automated Heartbeats: Periodic checks for high-priority emails and calendar events.
• Platform Integration: Deep integration with Telegram, BlueSky, and GitHub for seamless task execution and notification.

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Last Updated: May 2026