Gemini Connector

Gemini Connector

Gemini conversation history used for raw-memory and persona flows.

Connector Metadata

SDK connector id	gemini
Works on	Web, React Native, Swift, Mobile sync
Current collection surface	Web raw memories flow, Mobile sync
Information density	High
Signal quality	High
Best for	Search-adjacent assistant conversations, research context, and Google ecosystem reasoning patterns.

Activation

To show this connector in the SDK, add gemini to the platform allowlist for the SDK surface you are using.

Web

<OnairosButton
  webpageName="YourApp"
  requestData={['preferences', 'personality']}
  allowedPlatforms={['gemini']}
  onComplete={(result) => console.log(result)}
/>

React Native

<OnairosButton
  AppName="YourApp"
  allowedPlatforms={['gemini']}
  recommendedPlatforms={['gemini']}
  onComplete={(result) => console.log(result)}
/>

Swift

let config = OnairosConfig(
    apiKey: "your_api_key",
    platforms: [.gemini],
    recommendedPlatforms: [.gemini],
    urlScheme: "yourapp",
    appName: "YourApp"
)

Current SDK Surface

What We Collect

• Conversation IDs and titles when available from the client.
• User-authored Gemini messages routed through the standardized LLM schema.
• Platform metadata attached during sync so Gemini history can be retrieved as a distinct LLM source.

Current Onairos Handling

• Stored through the generic LLM conversation pipeline.
• Mobile sync can submit Gemini exports into the same normalized LLM schema.

Notes

• Uses the standard conversation import flow.
• Dedicated Gemini memory exports are not part of this connector.

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