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.
- Instance:
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-starterfunction 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.
Last Updated: May 2026