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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install local-ai-stack - 安装完成后,直接呼叫该 Skill 的名称或使用
/local-ai-stack触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Local AI Stack 是什么?
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. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 69 次。
如何安装 Local AI Stack?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install local-ai-stack」即可一键安装,无需额外配置。
Local AI Stack 是免费的吗?
是的,Local AI Stack 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Local AI Stack 支持哪些平台?
Local AI Stack 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Local AI Stack?
由 jaysclawd-cloud(@jaysclawd-cloud)开发并维护,当前版本 v1.0.0。