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@remnic/connector-omi

v9.52.0

Published

Omi AI wearable connector for Remnic — pull, clean, and remember necklace transcripts via the Omi Developer API

Downloads

27,147

Readme

@remnic/connector-omi

Omi AI wearable connector for Remnic. Pulls your Omi necklace conversations into Remnic's wearable-transcript pipeline: cleaned, speaker-labeled, redacted, searchable day transcripts — and, under per-source trust gates, memories. Optionally imports Omi's own "memories" (extracted facts) into the review queue.

This is an à-la-carte optional companion of @remnic/core:

npm install -g @remnic/connector-omi

Remnic discovers it at runtime. No further registration is needed.

Setup

The connector uses Omi's Developer API by default:

  1. In the Omi app, open Settings → Developer → Create Key.
  2. Create a Developer API key (omi_dev_...).
  3. Configure:
{
  "wearables": {
    "enabled": true,
    "sources": {
      "omi": {
        "enabled": true,
        "memoryMode": "smart",             // smart (default) | off | review | auto
        "importNativeMemories": "smart"    // Omi memories through the same trust pipeline
      }
    }
  }
}

Provide the key via OMI_API_KEY (or REMNIC_OMI_API_KEY, or apiKey in config). No app id or uid is needed for the current Developer API.

Legacy External Integration app installs remain supported. If you are still using that older flow, configure both appId and userId; when both are present the connector uses Omi's app-scoped integration endpoints.

Usage

remnic wearables check omi
remnic wearables sync --source omi --days 7
remnic wearables transcript --date 2026-06-10 --source omi

Speaker labels

Omi Developer API segments carry speaker_name and speaker_id. Legacy integration segments may mark the wearer (is_user) and use SPEAKER_NN diarization labels or stable person ids once you tag people in Omi. Map any speaker key to a display name once:

remnic wearables speakers set omi SPEAKER_01 "Jane Doe"

Notes

  • Transcripts are fetched with include_transcript=true. In legacy integration mode, the connector also passes max_transcript_segments=-1 because that API's default silently truncates conversations to their first 100 segments.
  • Day windows are timezone-correct: the connector computes local-day ISO bounds (DST-aware) for the API's start_date/end_date filters, and only completed, non-discarded conversations sync.
  • Default memoryMode: "smart": the LLM judge + per-source trust prior
    • cross-device corroboration write high-trust facts active, queue borderline ones, and drop the rest. Omi-native memories run through the same pipeline with a reduced prior.

Full documentation: docs/wearables.md.

License

MIT