--- type: "post" id: "digup-is-a-free-mac-menu-bar-app-46164d" slug: "digup-is-a-free-mac-menu-bar-app-46164d" title: "DigUp is a free Mac menu bar app for semantic search across files, built on EmbeddingGemma 2." description: "DigUp brings semantic search across selected Mac files into a small menu bar application." retrieval_nugget: "DigUp brings semantic search across selected Mac files into a small menu bar application." published_at: "2026-10-11" updated_at: "2026-10-11" record_date: "2026-10-11" date_kind: "published_at" topics: [] source_urls: ["https://github.com/ARahim3/DigUp"] schema_version: "newruntime-agent-readable-v0.2" stable_id: "post:digup-is-a-free-mac-menu-bar-app-46164d" status: "published" visuals: [] editorial_provenance: {"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:89fa26727c3a4e83ae442495f47bccc16f2a08dd168019b6ae4e9e2e818b0e9a","reviewed_at":"2026-10-11T20:03:32.407Z","source_evidence_count":1,"verified_claim_count":3,"site_analysis_schema_version":"newruntime-site-analysis-v1","site_object_kind":"field_note","observed_fact_count":3,"implication_count":2,"watch_condition_count":2,"related_record_count":0} analysis: {"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"Local multimodal search makes embedding models tangible as an interface to a user's mixed-format archive.","observed_facts":[{"text":"The DigUp README says the app indexes selected images, PDFs, documents, audio, and video using EmbeddingGemma 2.","source_urls":["https://github.com/ARahim3/DigUp"]},{"text":"The README states that DigUp requires Apple Silicon and macOS 14 or later and downloads an 865 MB model on first launch.","source_urls":["https://github.com/ARahim3/DigUp"]},{"text":"The project says indexed files stay on the Mac and that it does not require an account or use telemetry.","source_urls":["https://github.com/ARahim3/DigUp"]}],"mechanism":"DigUp indexes user-selected folders with EmbeddingGemma 2, then matches natural-language queries against representations of text, images, audio, and video; it can also match exact strings.","why_now":"the project packages a multimodal model into a free Mac application, rather than requiring users to assemble an indexing pipeline themselves.","implications":["This makes cross-format retrieval available as a local desktop workflow, but the repository's scope is bounded by folder selection and its stated file-processing rules.","The app's utility depends on the quality of indexing and retrieval across different file types, which is not independently assessed by the supplied source."],"evidence_boundary":"These details come from the project's GitHub README; they establish the developer's stated design and requirements, not independent testing of privacy, recall, speed, or reliability.","watch_conditions":["Whether independent users report reliable retrieval across varied personal archives, especially for audio and video, will show how well the described workflow holds in practice.","Whether the stated local processing and no-telemetry properties are independently audited or tested."],"related_records":[],"new_branch_reason":"No prior New Runtime record is supplied for this specific app release; this creates a distinct record on a local multimodal file-search implementation."} 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/posts/digup-is-a-free-mac-menu-bar-app-46164d/","markdown":"https://newruntime.com/posts/digup-is-a-free-mac-menu-bar-app-46164d.md","json":"https://newruntime.com/posts/digup-is-a-free-mac-menu-bar-app-46164d.json"} --- # DigUp is a free Mac menu bar app for semantic search across files, built on EmbeddingGemma 2. ## Retrieval answer DigUp brings semantic search across selected Mac files into a small menu bar application. DigUp brings semantic search across selected Mac files into a small menu bar application. The GitHub README describes indexing images, PDFs, documents, audio, and video with EmbeddingGemma 2, and opening results at relevant pages or media moments. This matters because the model is not presented only as a text embedding component: the app turns a shared multimodal representation into a local search interface across heterogeneous personal files. Thesis: Local multimodal search makes embedding models tangible as an interface to a user's mixed-format archive. Mechanism: DigUp indexes user-selected folders with EmbeddingGemma 2, then matches natural-language queries against representations of text, images, audio, and video; it can also match exact strings. Why now: the project packages a multimodal model into a free Mac application, rather than requiring users to assemble an indexing pipeline themselves. The README says indexed files stay on the Mac, requires Apple Silicon and macOS 14 or later, and downloads an 865 MB model on first launch. First implication: This makes cross-format retrieval available as a local desktop workflow, but the repository's scope is bounded by folder selection and its stated file-processing rules. Evidence boundary: These details come from the project's GitHub README; they establish the developer's stated design and requirements, not independent testing of privacy, recall, speed, or reliability. First watch condition: Whether independent users report reliable retrieval across varied personal archives, especially for audio and video, will show how well the described workflow holds in practice. The project also says new files become searchable shortly after they arrive once indexing is established, a claim whose real-world consistency remains unverified here. 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: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis. - collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph. - whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)