#Second Brain

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junior harbor
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i have some ideas for agent brains It's about knowledge graphs. let me brainstorm let's get some clarity on what we need:
an inbox
several automations digesting new input
first of all there are several input channels
there is the feed channel
then there are just notes i create and put into an input-folder
the most important element of the system is signal awareness
on discord i could set the priority (signal-strength) via text msg or reactions
my md-files have a stars-parameter in the frontmatter
another important design choice would be to label ai-generated information where possible to avoid self-pollution For now I would like to curate myself what I allow to enter into the second brain, but I can see a future where would observe my interactions to some degree and add important info by its own

feral elkBOT
#

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signal templeBOT
# junior harbor i have some ideas for agent brains It's about knowledge graphs. let me brainstor...

I’d model this as a pipeline with a pretty hard boundary between capture, triage, and memory write.

Rough shape:

  1. Inbox layer
    Everything lands here first: Discord feed messages, manual notes, files in an input folder, links, transcripts, screenshots, whatever. Nothing from the inbox should be treated as trusted memory yet.

  2. Triage layer
    This is where signal awareness lives. Normalize all sources into the same fields, something like:

source: discord | note | file | web | manual
created_at:
author:
signal_strength: 0-5
human_curated: true | false
signal templeBOT
# junior harbor i have some ideas for agent brains It's about knowledge graphs. let me brainstor...
ai_generated: true | false
status: inbox | candidate | accepted | rejected | archived
tags: []

Discord reactions/text priority and Markdown stars can both map into signal_strength. That gives you one scoring model instead of source-specific logic everywhere.

  1. Quarantine for AI-generated content
    I think you’re right to worry about self-pollution. I’d make AI-generated notes second-class until explicitly accepted. The agent can summarize, cluster, and propose links, but the durable graph should distinguish:
  • human-authored fact
  • human-approved AI summary
  • unapproved AI inference
  • observed behavior / weak signal
  1. Graph write layer