GitHub Actions for Free 24/7 AI Automation

Description and use

The author runs a local llama3.2 model with Ollama on a MacBook, eliminating token costs and keeping data private.

Problem

Every token costs money, every API call adds up, and data goes to cloud servers.

Outcome

The author built 45 free, local AI tools that run 24/7 without cloud costs, enabling RAG systems, offline voice assistants, code reviewers, content generators, and personal AI.

Workflow

• Install Ollama with brew install ollama
• Pull the llama3.2 model using ollama pull llama3.2
• Start the local server with ollama serve
• Send requests to the local endpoint http://localhost:11434/api/generate via a Python script

Evidence

Every token costs money. Every API call adds up. And your data goes to their servers.

Source

brew install ollama ollama pull llama3.2 ollama serve

Source

Now you have a GPT-4 level model running on your MacBook. Free. Private. Fast.

Source

I built 45 tools using this stack. All free. All local. All open source.

Source