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Show HN: Omni – Local-first multimodal file search on macOS

https://hanxiao.io/omni/

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

( 2 comments | on HN )
Re:Show HN: Omni – Local-first multimodal file search on macOS by marshalla on Friday June 05, 2026 @10:29PM (#48420825)
No joke about the indexing feeling slow. Could that be run as a lower priority task? handy app!
Re:Show HN: Omni – Local-first multimodal file search on macOS by vivgui on Saturday June 06, 2026 @11:32AM (#48426005)
This looks awesome!