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© 2026 Lucas Synnott

Network

Always-on AI infrastructure. The machines that run Applied Leverage — agents, pipelines, and all automation. Connected via encrypted Tailscale mesh.

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Network Health

Cluster

Orchestration

OpenClaw 2026.2.26

Memory

13.8 GB used / 31.3 GB (44.0%)

CPU

10.7% load

GPU

40.0%

Storage

254.1 GB used / 457.4 GB (55.6%)

Functions

5 active agents

Interconnect

14 active peers, 9 docker containers

Nodes

johnny-ai

johnny-ai.tail70105c.ts.net

Primary AI workstation. Runs OpenClaw gateway, all agents, coding sessions, and GPU workloads.

Linux · i9-9900K · RTX 3090 24GB · 32GB RAM · 458GB NVMe · Tailscale: 100.122.180.57

lucass-mac-studio

Lucas's desktop. Direct LAN access.

macOS · Tailscale: 100.126.65.119

lucass-macbook-pro

Laptop, offers exit node.

macOS · Tailscale: 100.107.211.59

ubuntu-2404-noble-amd64-base-1

VPS node 1.

Linux VPS · Tailscale: 100.86.190.74

ubuntu-2404-noble-amd64-base

VPS node 2.

Linux VPS · Tailscale: 100.125.74.82

K8s Pods applied-leverage namespace

PodRole

Daemons systemd

ServicePurpose
openclaw-gateway
Agent gateway  WebSocket server, message routing, heartbeats
docker
Container runtime for agent workloads
tailscaled
Encrypted mesh network connecting all nodes
tmux-sessions
Background process manager for dev servers and agents

Stack

Layer 5: Agents        — Johnny, Alt, T-Bug, Goro, River — orchestration and execution
Layer 4: Skills        — 67 installed skills — coding, research, content, ops
Layer 3: Gateway       — OpenClaw gateway — routing, memory, heartbeats, cron
Layer 2: Runtime       — Node.js, Docker, tmux, systemd services
Layer 1: Infrastructure — i9-9900K, RTX 3090, Tailscale mesh, NAS storage