What it does

Stephanie listens for voice commands, converts speech to text, and tries to figure out what you want done. It’s built to automate daily tasks — calendar checks, weather, whatever modules you bolt on — through a local Python stack. You install it, add API keys to a config file, and run Index.py.

The interesting bit

Most assistants treat intent matching as proprietary magic. Stephanie ships its “brain” as a separate open-source project called Sounder, complete with a paper explaining the algorithm. That’s unusual transparency for a 797-star hobby project.

Key highlights

• Pure Python 3, Linux-first (needs portaudio19-dev)
• Modular architecture with a 3rd-party module ecosystem
• Intent prediction via the documented Sounder algorithm
• MIT licensed, though the author disclaims liability for community modules
• Active circa 2017 with Slack, Reddit, and Quora support channels

Caveats

• README shows its age: Python 3 and pip install instructions without version pinning, social links as primary support infrastructure
• No candidate images provided, so no screenshots or architecture diagrams visible in the repo itself
• Windows/macOS setup is absent from the README; Linux-only guidance

Verdict

Tinkerers who want a hackable voice assistant and care about understanding how it parses commands will find Stephanie worth a look. If you need polished cross-platform packaging or modern dependency management, this is not your project.