whoami.wiki agents can work with many types of personal data. The more sources you provide, the richer and more accurate your encyclopedia pages become.
Photos
The most common starting point. Agents extract EXIF metadata (dates, GPS coordinates, camera info) and analyze visual content to identify people, places, and events.
Formats: JPEG, PNG, HEIC, WebP, TIFF
Photos with GPS data are especially valuable — they can be cross-referenced with maps and location databases to identify venues and neighborhoods.
Videos
Processed frame-by-frame at key intervals. Agents extract still frames for visual analysis, read visible text, identify scene changes, and use audio transcription.
Formats: MP4, MOV, AVI
Messages and chats
Chat logs capture conversations, emotions, and the day-to-day texture of relationships. Agents identify relationship arcs, key life events, shared experiences, and people.
Supported platforms: WhatsApp (.txt exports), iMessage (chat.db), Facebook Messenger (JSON), Telegram (JSON), Discord (data package), SMS (XML/CSV)
Voice notes
Audio recordings — standalone voice memos or voice messages from chat platforms. Transcribed and analyzed for content, context, and the people involved.
Location data
GPS timelines and check-in data. Provides the spatial dimension — where things happened, travel routes, daily patterns.
Sources: Google Maps Timeline (via Takeout), Apple location data, Swarm/Foursquare check-ins
Financial data
Bank and card transactions. Identifies restaurants, shops, transit, and venues visited. Especially useful for reconstructing trips when cross-referenced with photos and location data.
Format: CSV exports from most banks
Social media archives
Full data exports from social platforms. Provides posts, stories, likes, comments, and metadata.
Sources: Instagram, Facebook, Twitter/X — request your data download from each platform's privacy settings
How agents cross-reference
When given multiple data sources, agents combine them to build richer narratives. An agent processing a trip might:
- Use photos for visual context and timestamps
- Use location history for precise routes and durations
- Use bank transactions to identify restaurants and venues
- Use messages for personal context and conversations that happened during the trip
The more sources overlap in time, the more connections agents can make.