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SlothSort: Autonomous Local AI File & Clutter Tidier

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady What I Built Everyone's default Downloads and Desktop folders quickly become digital landfills of chaos. Cryptic files like download (1).pdf , scan_0042.jpg , W2_Tax_Year_2025.txt , and untitled_notes_oct.md

dev.toDonnerstag 06:06 · 22.10.2 Min. Lesezeit
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Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥

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

Everyone's default Downloads and Desktop folders quickly become digital landfills of chaos. Cryptic files like download (1).pdf, scan_0042.jpg, W2_Tax_Year_2025.txt, and untitled_notes_oct.md pile up over months. We all know we should organize them, but manual file triage is one of the most soul-crushing, procrastination-inducing chores on a computer.

SlothSort is built to let you channel your inner sloth. It is an autonomous, 100% local file and clutter organizer powered by quantized open-weight Small Language Models (SLMs) such as Llama 3.2 3B and Qwen 2.5 3B running through Ollama.

Who gets to be lazier? Developers, students, remote workers, accountants, and anyone who has ever stared at a 500-item Downloads folder in quiet despair. You click "Sort Now" once, and your clutter vanishes into organized vaults while you relax.

Autonomous Sorting in Action: The dashboard displays a dual-panel workspace: messy inbox on the left with instant AI pre-scan confidence, and the categorized Organized Vault on the right.

High-Density Compact Tiles: File cards are condensed down to sleek ~38px two-line tiles showing category icons, original vs. new filenames, file size, truncated AI reasoning snippets ( 💡... ), and micro-action toolbars (Copy Path, Move, Rename, Download, Preview, Delete).

In-App Modal Previewer & Batch Actions: Inspect syntax-highlighted code, Markdown notes, or images directly in-browser. Multi-select files to batch-move across categories or download as a bundled ZIP archive.

Autonomous Local AI File & Clutter Tidier powered by Open-Weight Models. 100% Offline • Zero Cloud Egress • Zero Marginal Token Fees • Complete Reversibility

Every developer, knowledge worker, and student knows the "Downloads Folder Graveyard." Over weeks and months, our default download and desktop directories become chaotic dumping grounds for hundreds of files:

Quelle: dev.to (dev.to). Original öffnen