I’m working on an idea I call a Context Engine and would love feedback on the architecture. The problem: I have hundreds of projects running in parallel across different regions, teams, and timelines. A huge amount of context lives in emails, documents, spreadsheets, meeting notes, call recordings, chats, and random files. I spend too much time searching, reconstructing context, and remembering details. The vision: a personal “living memory” system that continuously ingests information from multiple sources (email, local files, call transcripts, notes, etc.), builds a dynamic knowledge graph of projects, people, decisions, risks, and timelines, and provides context on demand. Instead of searching for information, I want to ask things like:
- What’s the latest status of Project X?
- What decisions were made about Project Y?
- What are the unresolved issues in Project Z this month?
- Summarize everything important that happened while I was away. What architecture would you recommend for a system that acts as a continuously evolving external brain? submitted by /u/BaronsofDundee
Originally posted by u/BaronsofDundee on r/ArtificialInteligence