@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 Integrations API, which is scoped to an app you create:

1. In the Omi app: Apps → Create App → External Integration, and grant the read conversations capability (plus read memories if you want native-memory import). Install/enable the app for your account.
2. On the app's management page, create an API key (sk_...).
3. Note your app id and your uid (Omi passes ?uid= to your app's links; it identifies the account to read).
4. Configure:

{
  "wearables": {
    "enabled": true,
    "sources": {
      "omi": {
        "enabled": true,
        "appId": "your-omi-app-id",
        "userId": "your-omi-uid",
        "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).

Usage

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

Speaker labels

Omi marks the wearer (is_user) automatically. Other voices arrive as SPEAKER_NN diarization labels — or stable person ids once you tag people in Omi. Map either form to a display name once:

remnic wearables speakers set omi SPEAKER_01 "Jane Doe"

Notes

• Transcripts are fetched unabridged: the connector passes max_transcript_segments=-1 because the 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