Openclaw Mlx Setup — Development skill for Claude Code
One-click setup for running local LLMs (MLX) on Apple Silicon Mac with OpenClaw.
How to install Openclaw Mlx Setup
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open jkf87/openclaw-mlx-setup and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Openclaw Mlx Setup does
One-click setup for running local LLMs (MLX) on Apple Silicon Mac with OpenClaw.
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README
OpenClaw + MLX Local Model Setup
One-click setup for running local LLMs on Apple Silicon Mac with OpenClaw
[](https://support.apple.com/en-us/116943) [](LICENSE)
What is this?
This skill automatically sets up a local LLM on your Apple Silicon Mac and connects it to [OpenClaw](https://github.com/nichochar/openclaw). It handles everything:
- Detects your Mac's RAM and selects the optimal model
- Installs dependencies (
mlx-lm) - Downloads the model from HuggingFace
- Starts
mlx_lm.server(OpenAI-compatible API) - Configures
openclaw.jsonautomatically - Tests the connection
Quick Start
# Clone and run
git clone https://github.com/jkf87/openclaw-mlx-setup.git
cd openclaw-mlx-setup
bash scripts/auto_install.sh
That's it. Your OpenClaw agents (Telegram bots, etc.) can now use local models.
Requirements
| Item | Requirement |
|---|---|
| Mac | Apple Silicon (M1/M2/M3/M4) |
| RAM | 8GB minimum |
| Python | 3.10+ |
| OpenClaw | Installed and configured |
Auto-Selected Models by RAM
| RAM | Model | Size | Use Case |
|---|---|---|---|
| 8GB | Qwen3-4B-4bit | ~2.5GB | Light chat |
| 16GB | Qwen3-8B-4bit | ~4.9GB | Best value |
| 32GB | Qwen3-14B-4bit | ~8.5GB | Balanced |
| 64GB+ | Qwen3-32B-4bit | ~19GB | High performance |
Architecture
[HuggingFace MLX Model] --> [mlx_lm.server :8080] --> [OpenClaw] --> [Telegram Bot / Agent]
OpenAI-compatible API mlx provider
Options
# Auto-select model (default)
bash scripts/auto_install.sh
# Specify a model
bash scripts/auto_install.sh --model mlx-community/Qwen3-14B-4bit
# Change port
bash scripts/auto_install.sh --port 8081
# Restart without re-downloading
bash scripts/auto_install.sh --skip-download
Mac Chip Performance (8B Q4)
| Chip | Token/s (approx)
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