w2g VS promnesia

A friend of Conor White-Sullivan (Roam's creator) propped up his own take on how to do a notetaking system that does support edges, and then he went a step further and opened it for everyone to edit, so it's just a single shared graph:

<https://github.com/w2g/w2g>

Mek works at the Internet Archive, and it clearly follows the same spirit of "we'll operate the service, feel free to bring your own frontend if you don't like ours". I wasn't happy with the way that one at graph.global tries to subvert/duplicate native browser features, so I put up a minimal "client" for browsing existing nodes that feels similar to the default one, sans annoyances on those specific axes:

<https://graph.5apps.com/LP/streamline>

I never got around to allowing editing, unfortunately. You'll have to use the default frontend for that (annoying, since it's buggy) or write a client of your own.

The key issue I see with the graph.global model is that you have to use triples. I've found that this results in big hurdles for throughput—i.e., the opposite of notational velocity. The ideal thing would probably be to allow a Roam-like system where you can start out by simply linking two related nodes, and then fill the edge details after the fact. You could sort of approximate this with w2g as it stands by just using a generic is-related-to connector and then reify the relation. This does mean you would lose the ability to query by relation unless you add further attributes or went back and edited the original connector to replace it with something more appropriate before reification. Stopping in your tracks to find the appropriate connector is something I found to have lots of overhead.

This is, in theory, what graph.global is supposed to be (by Mek from OpenLibrary / Internet Archive).

<https://github.com/w2g/w2g>

In term of automatically saving everything, There is heyday.xyz, polished but quite expensive. Or https://github.com/karlicoss/promnesia, a more experimental take.

Promnesia & theconversation.social were on similar themes/solutions.

1. you often don't know what resources you will really "value" in the future, so no more to save or not to save, this is the question

2. tagging, to be effective, require discipline (thinking about then sticking to an agile system). So, we just replace it with search, preferably NLP/AI (so you don't have to remember the exact keywords)

Apps do exist, from the expansive [1] to the experimental [2].

Personally I invested time in my filling system, and over-saving does not cause me much angst, so I’m OK with it. I also use maintenance as an occasion for renewed discovery.

[1] https://heyday.xyz/

[2] https://github.com/karlicoss/promnesia

I want to build a browser that captures everything I saw on the internet, allows me to search it, run graph algorithms (like PageRank). Improves navigation (by showing trails as tree instead of tabs). Heavily offline focused (Backend only for updates, maybe for analytics).

Difference with rewind.ai: linkkraft does not have funding, i'm solo, no apps & image/video/audio recognition. Focus on web, trails, research and using web copies, selections/highlights as part of your notes & whiteboards. Preserving all possible graphs.

My inspirations: https://pages.gseis.ucla.edu/faculty/bates/berrypicking.html, https://beepb00p.xyz/promnesia.html, Jeff Raskin (Global Search, Zoom UI) https://linkkraft.com/notes/backstory

I've built a prototype with trails tree & HTML snapshoting. For each my step even inside SPA linkkraft creates HTML snapshot.

Promnesia works like that: https://github.com/karlicoss/promnesia/