Memora

Memora is an AI-powered system that creates a living, multimodal paper trail of requirements across the entire lifecycle of a complex product. It tackles a persistent problem in modern Engineering–Product–Design (EPD) organizations: context gets lost. 
 

Decisions scatter across Slack threads, meetings, JIRA tickets, Figma comments, and emails—making it hard for integrated product teams to understand why requirements changed, what tradeoffs were made, and what the current “source of truth” really is.

Memora solves this by automatically capturing, structuring, and narrating decision context as it evolves. It ingests artifacts from existing tools, links them to requirement objects, and surfaces a clear lineage—what changed, who changed it, and what user or technical insight drove the shift. Teams get traceability, transparency, and shared understanding without extra workflow overhead.

Further, this project is a reflection of a persistent problem I encounter every day. There's so many tools and locations where information is documented and maintained. It has become fragmented and fragile, especially revealing when coworkers leave the organization taking their valuable context. With the rise of agentic AI, this project explores how we can maintain information continuity over the long term.