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Downloads Organizer

Smart downloads folder organizer powered by local AI (Ollama). Compatible with macOS and Linux. Installs with pipx and runs as a system service.

Your files never leave your machine — all AI classification happens locally via Ollama.


Demo

~/Downloads/
├── 📥 Recién Descargado/      ← files from today
└── 📁 Organizado/
    ├── 🔴 Urgente/
    │   ├── Trabajo/
    │   │   └── documento/
    │   └── Finanzas/
    │       └── hoja_de_calculo/
    ├── 🟡 Normal/
    │   └── Personal/
    │       └── imagen/
    └── 📦 Archivo/

Requirements

  • Python ≥ 3.10
  • pipx — to install the CLI
  • Ollama — local AI engine

Installation

macOS

# 1. Install Ollama
brew install ollama
ollama serve &
ollama pull llama3.2

# 2. Install pipx (if needed)
brew install pipx
pipx ensurepath

# 3. Install Downloads Organizer
pipx install downloads-organizer

# 4. Enable system service
dorg install

Linux

# 1. Install Ollama
curl -fsSL https://ollama.ai/install.sh | sh
ollama pull llama3.2

# 2. Install pipx (if needed)
pip install pipx --user && pipx ensurepath

# 3. Install Downloads Organizer
pipx install downloads-organizer

# 4. Enable systemd service
dorg install

Usage

Command Description
dorg install Install and enable system service
dorg uninstall Remove system service
dorg status Service status + statistics
dorg classify Classify pending files now
dorg watch Start in foreground (debug mode)
dorg logs View service logs
dorg logs -n 200 View last N log lines
dorg config Edit configuration file
dorg config --set ollama.model=mistral Change Ollama model
dorg projects List approved projects
dorg projects --add Trabajo Add project manually

Configuration

File: ~/.config/downloads-organizer/config.yaml

downloads_folder: ~/Downloads
recent_folder_name: Recién Descargado   # staging folder for new files
organized_folder_name: Organizado        # destination for classified files
classify_time: "06:00"                   # daily classification time

ollama:
  base_url: http://localhost:11434
  model: llama3.2
  timeout: 60
  confidence_threshold: 0.65             # below this → ask user

projects:                                # approved project names
  - Trabajo
  - Personal
  - Finanzas
  - Estudio

Recommended Ollama Models

Model Size Speed Quality Best for
llama3.2 2 GB Fast Good Default, everyday use
mistral 4 GB Medium Very good More nuanced classification
phi3 2 GB Fast Good Low-RAM machines
gemma2 5 GB Slow Excellent Best accuracy

Change model:

ollama pull mistral
dorg config --set ollama.model=mistral

How It Works

New file detected
      │
      ▼
[watchdog event]
      │
      ▼
_should_move()? ──No──► ignore
      │
     Yes
      │
      ▼
wait for file ready (download complete)
      │
      ▼
move → Recién Descargado/
+ native notification
      │
      ▼
      (daily at 06:00)
      │
      ▼
[Ollama classification]
      │
      ├─ confidence ≥ 0.65 + known project
      │         └─► move automatically
      │
      ├─ confidence < 0.65
      │         └─► show interactive dialog
      │
      └─ new project suggested
                └─► ask user to approve/rename/reject
                          └─► move to Organizado/

Contributing

See CONTRIBUTING.md for development setup, commit conventions, and the pull request process.


License

MIT — see LICENSE. Copyright (c) 2025 Jarsa Sistemas

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