mindown 0.1.0

AI-driven terminal downloader: chat for songs/videos, get yt-dlp + ffmpeg + iTunes/LRCLib-tagged audio.

mindown-cli

Terminal version of mindown — chat with an OpenAI-compatible model to find and download songs / videos via yt-dlp, with automatic ID3 / iTunes-atom tagging (cover art + LRCLib lyrics) on every audio file.

Requirements

• Python 3.9+
• yt-dlp on your $PATH (or supply a full path during setup)
• ffmpeg on your $PATH (used for audio extraction and metadata write-back)
• An OpenAI-compatible API key — works with OpenAI, OpenRouter, Groq, Together, Anthropic via gateway, local Ollama in OpenAI mode, etc.

On macOS:

brew install yt-dlp ffmpeg

Install

pip install -e .

This installs a mindown command. The package is pure stdlib — no extra Python deps are required.

First run

$ mindown
Welcome to Mindown CLI.
Chat-driven YouTube → mp3/mp4 downloader with iTunes + LRCLib tagging.

OpenAI-compatible API key: ********
Base URL [https://api.openai.com/v1]:
Model [gpt-4o-mini]:
yt-dlp path [/opt/homebrew/bin/yt-dlp]:
ffmpeg path [/opt/homebrew/bin/ffmpeg]:
Download directory [~/Downloads/Mindown]:
✓ Saved config to ~/.config/mindown-cli/config.json

The config is written to ~/.config/mindown-cli/config.json (or $XDG_CONFIG_HOME/mindown-cli/config.json) with mode 0600 because it holds the API key. Re-run setup with mindown --config.

How it works

1. Your message is sent to the chat model along with two tool definitions:
   • search_youtube(query, limit) — runs yt-dlp ytsearch: and returns up to 10 candidate videos.
   • propose_downloads(items[]) — surfaces a list of {url, format, quality} proposals for you to approve.
2. The model picks queries, fetches candidates, then proposes a list. You tick / un-tick items at the prompt; nothing downloads automatically.
3. Approved items are downloaded sequentially with yt-dlp, with a live progress bar parsing yt-dlp's --progress-template output.
4. For audio downloads, the file is run through a tagging pass:
   • iTunes Search API → title, artist, album, year, genre, track #, cover art (1200×1200), composer, copyright (via album lookup).
   • LRCLib → plain-text lyrics (USLT / ©lyr).
   • Optional AI lyrics fallback — when LRCLib has no match, ask the configured chat model for the lyrics and write them into the same USLT / ©lyr field. Off by default; opt in during first-run setup, with /ailyrics on in the REPL, or --ai-lyrics on the command line. Some models refuse on copyright grounds, in which case nothing is written.
   • ffmpeg rewrites the file in place with ID3v2.3 / iTunes atoms.

Slash commands

/help              show command list
/config            re-run setup
/show              print current config (API key redacted)
/reset             clear chat history
/dir <path>        change download directory
/model <name>      switch model
/tag on|off        toggle iTunes tag enrichment
/ailyrics on|off   toggle the AI lyrics fallback
/quit              exit

Use with AI agents

Just ask your AI agent:

install this skill: https://github.com/moerdowo/mindown-cli/blob/main/SKILL.md

The agent will fetch the skill file and figure out where to put it for its own runtime.

Notes

• Audio defaults to MP3 best quality. Video defaults to MP4 1080p when asked for video; otherwise audio is chosen.
• --no-playlist is enforced — paste a /watch?v=… URL inside a playlist and only that single video downloads.
• yt-dlp's progress is parsed from a structured DL|... template line, so the progress bar is robust against locale formatting differences in the classic [download] output.
• Output files are named %(title).200B [%(id)s].%(ext)s so duplicate titles do not clobber each other.

License

Personal-use utility, no warranty. yt-dlp and ffmpeg are redistributed under their respective licenses.