SlothDesk 🦥: You Do Nothing. Your Desktop Clutter Sorts, Renames, and Audits Itself
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady What I Built Every modern knowledge worker dreads the Downloads and Desktop Black Hole . Over days and weeks, our workspaces accumulate hundreds of cryptically named files: Screenshot_2026-03-12_at_11.23.41.png INV_82910_final(1).pdf receipt_unnamed.jpg analytics_churn_export_raw(3).csv…
SlothDesk is an autonomous background program that helps organize and clean up desktop clutter. It operates at a slow, deliberate pace, allowing it to carefully inspect files and folders without causing any disruption.
When files are downloaded to the computer, SlothDesk first checks the file types using a feature called Magic Header Inspection. This ensures that only genuine file types are processed, while any malicious executables are moved to a secure vault.
Next, SlothDesk uses Gemma 3, a powerful AI model, to analyze the text and images inside each file. It extracts important details like dates, vendors, amounts, and subjects from the documents. This information is then used to rename the files in a clear, organized way using ISO-8601 timestamps and relevant keywords.
To guarantee that no data is lost during the sorting process, SlothDesk creates a dual SHA-256 checksum before and after moving each file. This ensures that every file remains exactly as it was, without any alteration.
As SlothDesk works in the background, it also produces a soothing audio briefing each morning. This voice message summarizes the clean-up work that was done overnight, without requiring any manual input from the user. It lets the user know exactly what files were sorted and what their new locations are.
Overall, SlothDesk provides an easy way to keep desktop clutter under control, while also ensuring data integrity and security. It offers a hands-free solution to the common problem of messy downloads and desktop folders, allowing users to focus on more important tasks.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.