Memory Archive
Turn scattered photos into a living archive.
Memory Archive preserves personal and family history by connecting photos with people, relationships, places, events, dates, stories, tags, restoration context, and AI-assisted metadata suggestions.
Photos become people, places, and stories.
The app combines Firebase auth, Firestore records, cloud storage upload/delete routes, and Gemini analysis for metadata, narrative stories, and restoration context.
Upload and store photos
Photos upload through an API route into cloud storage and become Firestore archive records.
Tag people
Person records capture names, relationships, biographies, avatars, notes, and connections back to photos.
Organize by place and time
Timeline and places views group memories by decade, date, and location for browsing family history.
Generate context
Gemini suggests metadata, writes narrative stories, and produces restoration context such as color interpretation and historical notes.
Designed for browsing memory, not just storing files.
The interface includes home, photos, photo detail, people, person detail, places, stories, and timeline views, giving families multiple ways back into the same archive.
Photo detail
Each photo can hold date, estimated date, location, occasion, tags, story, people, restoration status, and historical context.
People directory
The people view turns faces into named family members with relationship labels and biographies.
Heritage geographies
Places group photos by cities, houses, and landscapes so location becomes part of the story.
Decade timeline
Timeline sorting converts dates and estimated dates into a chronological family history view.
Preserve the archive before it scatters again.
Memory Archive is currently represented as a Tunet Micro codebase. Request access if you want to review the prototype or discuss a private family archive workflow.
Discuss Memory Archive