Smart File Organizer: AI Watches Your Downloads Folder

A developer built a suite of 45 open-source AI tools that run entirely locally using Ollama and the llama3.2 model, avoiding per-token API costs and keeping data off third-party servers. The tools are invoked through a simple Python requests call to a localhost endpoint, with no API key required, and the code is published on GitHub.

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