DevPulse → Can I Use → OpenClaw

Can I Use DevPulse With

OpenClaw

DevPulse monitors OpenClaw and its local model backend (Ollama, LM Studio, or llama.cpp). It tracks the agent's Node.js processes, the model server's VRAM usage, and shows you exactly how much RAM your AI coding setup is consuming — critical on Mac Minis where every gigabyte counts.

AI agentLocal modelsOllama integrationMac Mini
8–48 GB (model dependent)
Typical RAM
5–20
Processes
✓
Monitored

Why DevPulse monitors OpenClaw

OpenClaw is an open-source AI coding assistant that runs local models via Ollama or LM Studio. The popular Mac Mini setup — OpenClaw + Qwen 3.5 9B on a 24 GB M4 Mac Mini — leaves razor-thin memory margins. DevPulse tells you exactly how much headroom you have before your model starts swapping.

What DevPulse detects

✓
OpenClaw process detection and groupingFree
✓
Total memory at a glance (agent + model)Free
✓
Ollama/LM Studio model memory trackingFree
PRO
Model load/unload detectionPro
PRO
Available RAM vs model requirement checkPro
PRO
Background model idle detectionPro
PRO
Zombie subprocess cleanupPro

Quick tips to reduce OpenClaw RAM

1 On a 24 GB Mac Mini, use Q4_K_M quantization and close Chrome before loading models

2 Unload models when not coding: 'ollama stop <model>' frees the full VRAM allocation

3 Monitor swap usage — once macOS starts swapping, model inference speed tanks

4 Use DevPulse's 'Can I Run?' feature to check if a model fits alongside your current workload

5 The Mac Mini M4 Pro (48 GB) is the sweet spot for OpenClaw with 32B models

Monitor OpenClaw with DevPulse

See exactly how much RAM OpenClaw is consuming, grouped intelligently with all its child processes.

Download FreeRAM tips for OpenClaw

Use case guides

Category

ai

Availability

Free + Pro features

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Ready to tame OpenClaw?

Download DevPulse and see what OpenClaw is really doing to your Mac's RAM.

Download for macOS

macOS 14+ · Apple Silicon & Intel · Free during launch