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Omni – Local-first multimodal file search on macOS

Omni – Local-first multimodal file search on macOS

by artex_xh·Jun 5, 2026·2 points·0 comments
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AI Analysis

●●●BangerWizardryZero to OneDark Horse

Native MLX-Swift transformer port with no Python when every alternative needs cloud APIs.

Strengths
  • •Pure Swift MLX-Swift transformer port runs entirely on Apple silicon GPU
  • •Unified vector space indexes text, code, PDFs, images, audio, video together
  • •Local HTTP server exposes search to agents like OpenClaw and Hermes
Weaknesses
  • •Indexing slow even on M3 Ultra, fans spin hard with high power draw
  • •Apple silicon only, macOS 14+ requirement excludes Intel Macs and Windows
Category
AI/ML
Target Audience

Mac users wanting private semantic search across all file types

Similar To

Recall · Devon · Find Any File

Post Description

Finally made something I've always wanted, using the model we built.

• SOTA omni embedding model, fully local, indexes text, PDF, image, audio, and video • Swift-native app UI + mlx-swift-transformer core. No Python. • Tested on M3 Pro 18G / M3 Ultra 512G / M4 Pro 48G. All work fine. • HTTP server exposes search to local agents like OpenClaw & Hermes − Indexing still feels slow even on the latest M3 Ultra, ranging from 10K tps to 300 tps depending on file type − Fans go crazy, high power draw while indexing − Search is near-instant. Multimodal relevance is sometimes arguable, but the idea is recall (the agentic LLM takes the results and refines for the final answer), so maybe that's fine

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