# SlothSort: A Slow and Steady AI Agent That Organizes Your Downloads Folder 🦥

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady

Meet SlothSort, a local AI-powered Downloads folder organizer that takes the boring work of managing files off your hands.

We all know how quickly the Downloads folder turns into a mess of PDFs, documents, images, and randomly named files. Finding something important becomes a task of its own.

SlothSort makes this easier by acting as a local file-organizing agent. It can:

The most important rule: SlothSort never deletes your files.

It works quietly in the background, helping you maintain an organized workspace without manually sorting everything.

GitHub Repository: https://github.com/yaansa/slothsort

SlothSort is open source, and contributions are welcome!

I built SlothSort around Gemma 3, an open-weight AI model, running locally through Ollama.

The project combines local AI inference with file-system operations to create a practical desktop automation agent.

The technology behind the project includes:

The focus was not on building another chatbot, but on creating an AI agent that performs a useful real-world task.

Open innovation was essential to building SlothSort.

Using an open-weight model like Gemma 3 through Ollama allowed me to experiment with AI locally instead of depending on a closed, paid API.

For a tool that interacts with personal files, local processing is especially valuable.

Open-source AI makes it possible for developers to build useful, accessible tools while retaining greater control over their data and workflows.

The goal of SlothSort is simple: spend less time organizing files and more time actually using them.

Instead of manually opening, renaming, and moving downloaded files, users can let the agent handle the repetitive organization.

It's a small automation, but one that can make everyday computer usage a little less frustrating.