Entropy — AI File Organizer

Safe, Agent-Based Local File Cleanup

Inspiration

Digital clutter is a quiet productivity killer, especially in spaces like Downloads, Desktop, and project directories where files accumulate faster than people can organize them. Surveys in early 2025 reported that about one-third of people feel overwhelmed or anxious managing digital files, and only ~10% feel confident deleting unnecessary files.

Modern operating systems provide storage, but not intelligence.
They manage files, not meaning, structure, or intent.

We wanted to build something deeper than automation.
Not another script. Not another rule engine.
But a system-level AI layer that brings intelligence, structure, and safety to how people manage their local files.

What it does

Entropy is a local system-level AI file organization layer that intelligently restructures chaotic directories while keeping users fully in control.

It functions as an intelligent management layer over the local filesystem.

• Scans a user-selected directory space
  
• Builds a structured organization plan
  
• Proposes:
  • Folder hierarchies
    
  • File renames
    
  • Move operations
    
  • Duplicate cleanup
    
• Flags risky actions with confidence levels
  
• Requires explicit user approval for every change
  
• Applies only approved actions
  
• Treats deletion as reversible via a protected review space (Trash_Review/)

Nothing happens automatically.
Nothing happens silently.
Nothing happens without intent.

How it works

Entropy operates as a human-in-the-loop intelligence layer for local storage:

1. User selects a directory scope
   
2. System analyzes files locally
   
3. AI builds a structured organization model
   
4. User reviews every proposed change
   
5. User authorizes actions
   
6. System applies only approved operations
   

This makes AI a control layer, not an autonomous actor.

Entropy doesn’t replace file systems. It augments them with intelligence, structure, and safety.

Agent pipeline

Instead of a single monolithic AI model, Entropy uses a multi-agent reasoning pipeline, where each agent performs a specific system function.

This creates a structure similar to a modular OS service architecture:

• Specialized roles
  
• Clear responsibility boundaries
  
• Safety isolation
  
• Predictable behavior
  
• Transparent decision flow
  

Pipeline flow:

Scan → Organize → Classify → Validate → Propose → Review → Apply

Built With

• minimax
• next.js
• python
• typescript