Memory Stream first
The main screen makes saved reflections browseable through large cards, dates, summaries, companions, and bookmarks.
Local-first memory archive
Chain of Memories
A personal AI archive that makes memory searchable, local, and alive again.
Project story
Why it exists.
Chain of Memories has a clear product idea: old conversations should not become dead logs. They should become a local archive someone can search, revisit, annotate, and understand through different lenses.
The newest capture set makes that structure visible: Memory Stream, Search/Wiki, Persona Lens, and Import/Export all read as working surfaces instead of loose concept art.
The deeper value is the archive posture. Raw data, cleaned memory, wiki views, and companion interpretation can live side by side without turning private history into throwaway chat storage.
Direction
How the idea becomes usable.
Companion lenses
Different assistants act as interpretive modes over the same archive, giving the product emotional and cognitive range.
Local-first archive plan
The architecture separates raw source, normalized memory data, and experience layers so private history does not become throwaway chat storage.
Build notes
Technical infrastructure.
Build Signals
memory archive / local-first / companion UX
Working Surface
AI memory browser, companion lenses, and soundscape archive
Current Stage
Built interactive archive prototype and rebuild plan
Hosting Path
The interface shell can host as a static front end, while real data, auth, import/export, and private records would move behind serverless routes or a managed backend.
