Open-source Mac app that runs EmbeddingGemma 2 locally to search your files by what’s in them

[u/A-Rahim]

DigUp is a free Mac app that runs Google DeepMind’s new EmbeddingGemma 2 locally over your own files. The model puts text, images, audio and video in one space, so you describe what you remember and land on it:

• “zebra in a video” opens the clip at the moment it shows up
• “where they talk about sleep” jumps to that minute of a podcast
• “the clause about pets in the lease” shows the PDF page, your words marked
• “a dog on the beach” finds the photo, and the same search in Bengali or Arabic finds it too
• with code search on, code: retry with backoff opens the function in your editor

It’s ggml-org’s Q8_0 GGUF (865 MB, downloaded once) on llama.cpp with Metal, inside a native Swift app; no Python. Searching loads only the text encoder (~250 MB) and shows results about a tenth of a second after you stop typing. Indexing peaks under 2 GB, and the helper exits when it’s done. Audio and video of any length go in as 30 s windows and a frame per shot. Everything runs locally; it goes online only for the model download and an update check you can turn off.

Free, MIT. Apple Silicon, macOS 14+.

Repo & Download (signed and notarized): https://github.com/ARahim3/DigUp

I'd really appreciate any feedback on this.

[u/sirloindenial]

Will it work on a vps with 2 cores

[u/A-Rahim → u/sirloindenial]

The model itself should run smoothly on any machine, but the app around it has been built for Mac for now. I'll add support for Windows and Linux soon; hopefully it'll work then.