@shannholmberg: What´s gBrain and how does it work? I've been using gStack for a while when ideating, validating new projects, and some…

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gBrain is an open-source persistent memory layer for AI agents that ingests daily signals like emails, meetings, tweets, and docs into a typed knowledge graph, using Markdown, Postgres, and pgvector for hybrid retrieval.

What´s gBrain and how does it work? I've been using gStack for a while when ideating, validating new projects, and some coding now I'm experimenting with gBrain as the memory layer for my agents, starting with my Hermes Agent company gBrain is an open-source persistent memory layer for AI agents (by @garrytan). it turns your emails, meetings, tweets, voice memos, and docs into a typed knowledge graph. essentially markdown in, graph out. how it works: > 1. ingest signals from your daily life > 2. extract entities + create typed links (works_at, invested_in, attended) > 3. store as Markdown + Postgres + pgvector > 4. retrieve via hybrid search (keyword + vector + graph) > 5. agents read brain first, write insights back, graph builds itself an overnight dream cycle dedupes entities, repairs links, and updates the compiled truth
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What´s gBrain and how does it work?

I’ve been using gStack for a while when ideating, validating new projects, and some coding

now I’m experimenting with gBrain as the memory layer for my agents, starting with my Hermes Agent company

gBrain is an open-source persistent memory layer for AI agents (by @garrytan). it turns your emails, meetings, tweets, voice memos, and docs into a typed knowledge graph. essentially markdown in, graph out.

how it works:

  1. ingest signals from your daily life
  2. extract entities + create typed links (works_at, invested_in, attended)
  3. store as Markdown + Postgres + pgvector
  4. retrieve via hybrid search (keyword + vector + graph)
  5. agents read brain first, write insights back, graph builds itself

an overnight dream cycle dedupes entities, repairs links, and updates the compiled truth

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