Unverified50% confidenceFactExact time
The difference between local inference and remote inference lies in where the model weights run: with a local model, prompts, note contents and retrieved context stay in the computer's memory and do not pass through external servers; but reading Gmail or Outlook calendars still goes through Google's or Microsoft's interfaces, with data traveling to and from the account provider.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedOutside or Else's AI inference runs entirely on-device locally on Android, rather than sending user data to a remote server.62% similarUnverifiedPersistent agent architectures typically rely on a combination of external memory storage (such as vector databases or structured logs) and internal context management in their technical implementation.59% similarUnverifiedOGAD's privacy boundary depends on the chosen model: a remote model may receive the note text needed to answer, while a local model keeps inference on the local machine; but even if OGAD itself does not upload anything, if the user syncs the vault via iCloud, OneDrive or Obsidian Sync, those cloud services still hold a copy of the notes.58% similarUnverifiedKnowledge bases and persistent memory serve different purposes: knowledge bases (corresponding to data sources) provide reference material for the large model, while persistent memory (corresponding to conversation data) stores records of user–AI interactions and user behavior patterns.57% similar
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