Content Repurposer: One Article Becomes Seven Posts

A developer built a collection of 45 free, open-source AI tools that run entirely locally using Ollama and models such as llama3.2, codellama, mistral, phi3 and gemma2, avoiding API costs and sending no data to external servers. The tools are published on GitHub and call a local Ollama server through a simple Python requests wrapper, requiring no API key.

Every token costs money. Every API call adds up. And your data goes to their servers. brew install ollama ollama pull llama3.2 ollama serve Now you have a GPT-4 level model running on your MacBook. Free. Private. Fast. python import requests def ask local ai question : r = requests.post "http://localhost:11434/api/generate", json={"model": "llama3.2", "prompt": question, "stream": False} return r.json "response" Works immediately, no API key needed answer = ask local ai "Explain Docker in one paragraph" print answer | Model | Size | Best For | |---|---|---| | llama3.2 | 2GB | General use | | codellama | 4GB | Code tasks | | mistral | 4.4GB | Fast reasoning | | phi3 | 2.2GB | Lightweight tasks | | gemma2 | 5.4GB | Complex reasoning | I built 45 tools using this stack. All free. All local. All open source. github.com/amrendramishra/ai-tools https://github.com/amrendramishra/ai-tools VP at JPMorgan Chase. Building AI tools at amrendranmishra.dev