Smart Move (smv) - AI-powered file organization tool
Project description
smart-mv
smart-mv (smv) is an AI-powered file organizer that analyzes file content and suggests where to move files, how to rename them, and when to trash clutter.
Highlights
- Multi-provider AI setup with persistent profile:
- Ollama (first in selection list)
- OpenAI
- Anthropic
- Google Gemini
- Model selection per provider (with Ollama local model discovery).
- API key persistence with OS keyring and explicit plaintext fallback.
- Faster sorting flow with deterministic trash shortcuts and depth-limited search.
- Provider/model settings can be changed anytime from CLI.
- Richer document understanding with native
.docxtext extraction. - Filesystem tool-calling (OpenAI/Ollama) so AI can list directories and find files/folders during destination planning.
Quick start (uv-first)
Install
uv tool install smart-mv
or from source:
git clone https://github.com/kariszhuang/smart-mv.git
cd smart-mv
uv sync
uv run smv --version
Configure AI once
uv run smv ai setup
This interactive setup lets you choose provider, model, base URL (where applicable), and API key storage.
Organize a file
uv run smv /path/to/file.pdf
AI configuration commands
# Show current profile
uv run smv ai show
# Interactive reconfiguration
uv run smv ai setup
# Set provider/model/base URL directly
uv run smv ai set-provider ollama
uv run smv ai set-model gemma3:12b
uv run smv ai set-base-url http://localhost:11434/v1
# Set API key (keyring by default; falls back to plaintext if needed)
uv run smv ai set-api-key --storage keyring
# List suggested/discovered models
uv run smv ai list-models --provider ollama
Development
uv sync
uv run python -m unittest discover -s tests -q
Python version
This project now targets Python 3.10+.
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release-pypi.yml on kariszhuang/smart-mv
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