[HN Gopher] Show HN: AI-Augmented Memory for Groups
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       Show HN: AI-Augmented Memory for Groups
        
       We're building Largemem, (https://largemem.com) a shared knowledge
       base where groups upload and maintain a common set of documents
       (PDFs, scans, audio) and query them conversationally.  Each group
       has its own persistent knowledge base. We parse content into
       chunks, extract entities, and combine vector search with a
       lightweight knowledge graph, so answers can synthesize information
       across multiple documents and across the group's shared context -
       not just retrieve isolated snippets.  We would love to hear your
       feedback!
        
       Author : vishal-ds
       Score  : 8 points
       Date   : 2025-12-16 14:32 UTC (5 days ago)
        
 (HTM) web link (www.largemem.com)
 (TXT) w3m dump (www.largemem.com)
        
       | aster0id wrote:
       | A demo video would've been nice
        
         | verdverm wrote:
         | Anything would have been nice, this looks like a landing page
         | with zero substance
        
       | m3sta wrote:
       | Do you have any evals comparing your approach to alternatives?
        
       | twelvechess wrote:
       | This is a cool feature, given that ChatGPT introduced the group
       | chats fairly recently (I am not sure about usage statistics),
       | they could introduce this any day now. Perhaps, this will be very
       | useful for Enterprise, but Enterprise could just use the ChatGPT
       | Enterprise and fine tune a model on their data for their company.
        
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       (page generated 2025-12-21 23:01 UTC)