Local AI Stack
/install local-ai-stack
SKILL.md — Local AI Stack
Purpose
Transform any Mac into a powerful offline AI workstation. Installs Ollama (local model runner) + OpenCode (terminal coding agent) with the best pre-selected models. Fully offline — no API costs, no internet required.
What You Get
- Ollama — Local model runner (14GB models, ~$0 to run)
- OpenCode — Terminal coding agent with free built-in models
- 4 curated models — qwen2.5-coder, mistral, gemma3, llama3.2
- Bi-weekly auto-updates — New models pulled automatically
- OpenClaw integration — Works with your existing agent
Requirements
- macOS (Apple Silicon recommended)
- 24GB+ RAM (for larger models)
- 50GB+ free disk space
- Homebrew installed
Installation
Step 1: Install Ollama
curl -fsSL https://ollama.com/install.sh | sh
Or download from: https://ollama.com/download
Step 2: Pull Models
ollama pull qwen2.5-coder # Best for coding
ollama pull mistral # Fast tasks
ollama pull gemma3 # Reasoning
ollama pull llama3.2 # General purpose
Step 3: Install OpenCode
brew install opencode
Step 4: Configure OpenCode
# Test free built-in model
opencode run "Hello" --model opencode/big-pickle
Usage
Ollama Commands
# Run a local model
ollama run qwen2.5-coder "Write a Python function..."
# List installed models
ollama list
# Pull latest model version
ollama pull qwen2.5-coder
# Remove a model
ollama rm mistral
OpenCode Commands
# Interactive coding session
opencode
# Single command
opencode run "Write a React component" --model opencode/big-pickle
# List available models
opencode models
# Help
opencode --help
Model Selection Guide
| Model | Size | Best For |
|---|---|---|
| qwen2.5-coder | 4.7GB | Coding (primary) |
| mistral | 4.4GB | Fast responses |
| gemma3 | 3.3GB | Reasoning |
| llama3.2 | 2.0GB | General purpose |
When to Use Local vs Cloud
Use Local When:
- Offline (no internet)
- Privacy-sensitive work
- Quick coding tasks
- Cost-sensitive (zero API fees)
- Simple to medium complexity tasks
Use Cloud When:
- Complex multi-step reasoning
- Web search required
- Long creative writing
- Image generation
- Advanced AI capabilities
Bi-Weekly Auto-Update
Add to cron for automatic model updates:
# Edit crontab
crontab -e
# Add this line (1st and 15th of each month at 9 AM)
0 9 1,15 * * /path/to/update-models.sh
Troubleshooting
Ollama won't start
# Check if running
ps aux | grep ollama
# Start manually
ollama serve
# Check logs
cat ~/.ollama/ollama.log
Model runs out of memory
- Close other apps
- Use smaller model (llama3.2 instead of qwen2.5-coder)
- Check available RAM:
top | head -20
OpenCode not found
# Find installation
which opencode
# Reinstall if needed
brew reinstall opencode
Files
- Models stored:
~/.ollama/models/ - Config:
~/.ollama/config.json - Logs:
~/.ollama/ollama.log
License
Ollama: MIT OpenCode: MIT
Author
Built with ❤️ for the OpenClaw community
Notes
- Models load into RAM when used, unload when idle
- Only one model runs at a time by default
- For best performance, use Apple Silicon Mac with 24GB+ RAM
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install local-ai-stack - After installation, invoke the skill by name or use
/local-ai-stack - Provide required inputs per the skill's parameter spec and get structured output
What is Local AI Stack?
Transform your Mac into an offline AI workstation with Ollama and OpenCode, running curated local models for coding and reasoning without internet or API costs. It is an AI Agent Skill for Claude Code / OpenClaw, with 69 downloads so far.
How do I install Local AI Stack?
Run "/install local-ai-stack" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Local AI Stack free?
Yes, Local AI Stack is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Local AI Stack support?
Local AI Stack is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Local AI Stack?
It is built and maintained by jaysclawd-cloud (@jaysclawd-cloud); the current version is v1.0.0.