DigUp

DigUp is a local-AI tool - Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.

Overview

Describe it. Dig it up. Search the files on your computer by what's in them, with Google DeepMind's EmbeddingGemma 2 .

Download for Mac · Windows (beta) · Linux (beta) Free and open source. Everything runs on your computer.

EmbeddingGemma 2 is the multimodal embedding model Google DeepMind released in October 2026. It puts text, images, audio and video into one shared space: a photo of a dog on a beach lands next to the words "a dog on the beach", and a recording of someone talking about sleep lands next to "where they talk about sleep". It understands more than 100 languages, it's open (Apache 2.0), and at 740M parameters it's small enough to run on a laptop.

DigUp brings that to the files on your computer, on a Mac, on Windows or on Linux. Pick the folders to search, and it reads the pictures, PDFs, documents, recordings and videos in them. Then describe what you're looking for, in your own words, and it finds the match, whatever kind of file it is.

Exact words count too. Invoice numbers, error codes and names are matched as written, in file names and document text, so a search gets both the meaning and the exact string. On a Mac that includes the text inside screenshots.

DigUp is open-source, written primarily in Swift, with 5,661 GitHub stars under the MIT license. The latest release is v0.6.2 (2026-10-21).

Key capabilities

From the project's documentation:

• "zebra in a video" opens the clip at the moment the zebra 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
• "a dog on the beach" finds the photo, and "payment declined error" the screenshot
• a search in English can find a note written in Bengali, Arabic or any of the model's 100+ languages, and the other
• "code: retry a failed call with backoff" finds the function in your projects, if you turn on code search

Install

A quick way to get started (always check the official docs for the latest):

brew install --cask arahim3/tap/digup

How it fits a local-AI stack

DigUp runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related local-AI tools in the directory:

• "algernon"
• "blinko"
• Continue
• "exo"

Sources

• Source code & docs: ARahim3/DigUp

Stats from GitHub, 2026-10-24.