AI/ML●●●Banger
Omni – Local-first multimodal file search on macOS
Native MLX-Swift transformer port with no Python when every alternative needs cloud APIs.
WizardryZero to OneDark Horse
artex_xh
622d ago
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Native macOS semantic search over your local files - text, images, audio, video in one vector space, on-device on Apple silicon.
3 starsSwift
Omni – airgapped macOS multimodal search over local files
by artex_xh·Jun 7, 2026·1 point·0 comments
AI Analysis
●●●BangerWizardryDark HorseSolve My Problem
Multimodal embeddings in one vector space—text queries find images and audio locally.
Strengths
- •MLX-Swift native port runs entirely on-device with no Python or server dependencies.
- •Single vector space unifies text, images, audio, and video for cross-modal search.
- •Airgapped by design—model downloads once, then zero network required for indexing or search.
Weaknesses
- •Apple Silicon and macOS 14+ only excludes Intel Macs and other platforms.
- •Model sizes (2-3GB) may be prohibitive for users with limited storage.
Category
Target Audience
Mac users with privacy concerns, researchers, developers
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Raycast · Obsidian with embeddings plugins · Spotlight
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