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Memex

v1.0.23 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 1mo Productivity & Wikis
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

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journaling journaling-app knowledge-management life-logging local-agent local-first personal-knowledge-management personal-knowledge-management-system pkm privacy skills

Summary

AI summary

Updates v1.0.23 Release Notes, https://github.com/FunAudioLLM/SenseVoice, and https://github.com/k2-fsa/sherpa-onnx across a mixed release.

Full changelog

v1.0.23 Release Notes

🎙️ On-Device Speech Recognition

Memex now supports fully offline speech-to-text powered by sherpa-onnx + SenseVoice-Small. All audio processing runs entirely on-device — no data leaves your phone.

Features:

  • Real-time voice-to-text with VAD (Voice Activity Detection) — transcription appears as you speak
  • Periodic calibration during recording for improved accuracy, with a final full-audio calibration on stop
  • Long press the mic button to import and transcribe an existing audio file (m4a/mp3/wav/ogg/aac/flac)
  • Hardware acceleration: CoreML on iOS, NNAPI on Android
  • First-time use requires a one-time model download (~230MB), with China mirror option for faster downloads
  • Supports Chinese, English, Japanese, Korean, and Cantonese with automatic language detection

Technical details:

  • Silero VAD (bundled, 629KB) for real-time speech segmentation
  • Background Isolate for all transcription — zero UI blocking
  • Native audio format conversion via AVAssetReader (iOS) / MediaCodec (Android)
  • 60-second recording limit; no limit for imported audio files

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