---
type: "raw_signal"
id: "digup-is-a-free-mac-menu-bar-app-aeaf0f"
slug: "digup-is-a-free-mac-menu-bar-app-aeaf0f"
title: "DigUp is a free Mac menu bar app for semantic search across files, built on EmbeddingGemma 2."
description: "## DigUp brings on-device semantic search to Mac files"
retrieval_nugget: "## DigUp brings on-device semantic search to Mac files"
observed_at: "2026-10-11"
record_date: "2026-10-11"
date_kind: "observed_at"
why_it_matters: "The project describes the search as on-device: indexed files stay on the Mac, with no account or telemetry. DigUp supports macOS 14 or later and downloads an 865 MB model on first launch. Users choose which folders to index; the README also details exclusions and format-specific limits. For example, long documents are indexed in stages, and video search samples frames and audio. The release demons"
novelty: "notable"
verification_level: "source-linked"
signal_type: "release"
source_platform: "github.com"
topics: []
entities: ["DigUp","EmbeddingGemma 2","Google DeepMind","ARahim3"]
related_patterns: []
source_url: "https://github.com/ARahim3/DigUp"
source_urls: ["https://github.com/ARahim3/DigUp"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:digup-is-a-free-mac-menu-bar-app-aeaf0f"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/digup-is-a-free-mac-menu-bar-app-aeaf0f/","markdown":"https://newruntime.com/signals/digup-is-a-free-mac-menu-bar-app-aeaf0f.md","json":"https://newruntime.com/signals/digup-is-a-free-mac-menu-bar-app-aeaf0f.json"}
---

# DigUp is a free Mac menu bar app for semantic search across files, built on EmbeddingGemma 2.

## Retrieval answer

## DigUp brings on-device semantic search to Mac files

## DigUp brings on-device semantic search to Mac files

DigUp is a free, open-source menu bar application for Apple Silicon Macs that searches selected files by their contents. Its GitHub project says it uses Google DeepMind’s EmbeddingGemma 2 to index images, PDFs, documents, audio, and video, with code search available as a separate option. A query can locate a relevant passage, image, or moment in a recording or video.

The project describes the search as on-device: indexed files stay on the Mac, with no account or telemetry. DigUp supports macOS 14 or later and downloads an 865 MB model on first launch. Users choose which folders to index; the README also details exclusions and format-specific limits. For example, long documents are indexed in stages, and video search samples frames and audio. The release demonstrates a practical local application of multimodal embeddings, while its scope and performance depend on the selected files and indexing behavior documented by the project.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
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- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)
