OpenClaw on Mac

OpenClaw on Mac Mini: Setup, Local Models and Always-On Hosting

Yes, OpenClaw runs on Mac mini. It officially supports macOS with a menu-bar companion app and LaunchAgent service for automatic startup. The infrastructure question is whether you use the Mac mini as a gateway to cloud models, as a gateway plus local model server, or whether a VPS is a better fit for your uptime and access requirements.

LLM RAM and VRAM planning layers: model weight memory determined by quantization, runtime overhead and context reserve for attention and concurrency
Memory planning components. Actual peak RAM and VRAM vary by model artifact, runtime, context and concurrency; this is not benchmark data.

OpenClaw macOS Support

FeatureDetails
macOS supportOfficially supported
Apple SiliconSupported (Node.js runs natively on ARM64)
Intel MacSupported (Node.js runs on x64)
InstallationShell installer, npm/pnpm/bun, or menu-bar app
Background servicemacOS LaunchAgent (auto-start on login)
RuntimeNode.js 24.16+ or 26.1+ (26 recommended)
State directory~/.openclaw/
Default port18789 (loopback only)

OpenClaw vs. Local Models: Different Resource Requirements

OpenClaw itself is a Node.js gateway process. Its resource requirements are separate from — and much smaller than — local model inference. Running Ollama with a 7B model on the same machine does not mean OpenClaw needs that RAM; it means the Mac mini needs enough unified memory for both processes combined.

ComponentWhat it needsEvidence
OpenClaw gatewayNode.js process + state directory. Minimum RAM not documented.TESTING PENDING
Local model (Ollama)Memory depends on the specific model artifact, quantization, context length, and runtime overhead. Check the model artifact size and leave headroom for macOS, OpenClaw, and the KV cache.MODEL-SPECIFIC
Do not confuse gateway RAM with model RAM. OpenClaw's own memory consumption is not documented. The large memory numbers associated with local AI come from model inference, not from the gateway. Size memory for your combined workload, not for OpenClaw alone.

Current Mac Mini Configurations

Apple's current Mac mini lineup (September 2026) includes M6 and M5 Pro configurations. The previous M4 and M4 Pro models are discontinued.

ModelChipBase memoryMax memoryUS price (from)
Mac mini M6M6 (12-core CPU, 12-core GPU)16 GB32 GB$899
Mac mini M5 ProM5 Pro (15-core CPU, 16-core GPU)24 GB64 GB$1,699

Source: apple.com/mac-mini/specs. Checked September 17, 2026. M5 Pro is configurable to 18-core CPU / 20-core GPU. Memory bandwidth: M6 up to 170 GB/s, M5 Pro 307 GB/s.

Three Deployment Architectures

1. Mac Mini + Cloud Models

Run OpenClaw on the Mac mini as a gateway to cloud model APIs (OpenAI, Anthropic, OpenRouter). The Mac mini handles the gateway process and messaging integrations; inference happens remotely.

2. Mac Mini + Local Models (Ollama)

Run both OpenClaw and Ollama on the same Mac mini. OpenClaw auto-discovers local Ollama — no manual endpoint configuration needed. All inference stays on the machine.

3. VPS Instead of Mac Mini

Run OpenClaw on a Linux VPS instead of local hardware. This avoids owning and maintaining a physical machine.

Always-On Mac Mini Considerations

Running OpenClaw as a persistent service on a Mac mini requires configuring macOS to stay awake and recover from interruptions.

Remote Access to a Mac Mini

The OpenClaw gateway binds to loopback by default. To access it from another device, use SSH tunneling, Tailscale (documented integration), or a reverse proxy. The same remote-access architecture applies regardless of whether OpenClaw runs on Mac mini or a VPS.

Sources

Agent Infrastructure Recommendation Kit

Planning a Mac mini deployment for OpenClaw?

The Recommendation Kit helps you compare local Mac, VPS, and hybrid architectures — documenting workload requirements, hardware selection criteria, and the evidence behind your infrastructure decision.

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