#Logseq honest review
π’ #FOSS with AGPL license (in theory)
π΄ In reality it depends on a closed source module responsible for sync, dubious legality and misleading
π‘ Developed almost privately by a Venture Capitals funded company but accepting small contributions on GitHub and donations on OpenCollective
π’ Store notes in #Markdown (or in less supported #OrgMode) locally
π‘ Forces indented lists in .md files and it doesn’t support normal paragraphs at all
π‘ Introduces syntax that breaks Markdown in a very bad way instead of using code blocks where possible (in Advanced Queries?)
π‘ Based on Electron, NodeJS and NPM
π‘ UI and business logic mixed together, it forces you to always run the whole UI, including for sync
π’ Available for Linux on FlatHub (unofficially)
π΄ AppImage is the only officially supported way to install on Linux
π‘ No official reproducible builds but unofficial Flatpak ones are reproducible
π‘ Not in F-droid (and the closed source sync feature wouldn’t be allowed there anyway), you have to grab their APK manually or automatically
π’ Supports Wayland but not by default
π’ Custom CSS
π‘ Fixed UI, no tabs, no split view
π‘ Multi-window means multiple conflicting whole instances
π’ Plugins platform
π΄ Plugins marketplace based on GitHub
π‘ Poor integration of plugins especially from UI/UX PoV
π’ Very interesting concept of PDF annotations
π‘ PDF annotations not stored in the .pdf as standard annotations
π‘ PDF annotations stored in their own .md files with odd names
π’ LaTeX formulas support
π‘ No native PDF export and in general problematic
π‘ Too many menus, command palettes and other redundant UI elements
π’ Queries with simple syntax and UI
π‘ Advanced Queries are too often needed
π’ Datalog query language in Advanced Queries
π‘ Very broken aliases feature
π‘ Inconsistent requirements of capitalize, lowercase etc in query syntax and elsewhere that even break some functionalities
π’ Macros
π‘ Macros don’t work with most syntax, including Advanced Queries
π’ Supports HTML and Hiccup syntax
π’ Supports embedding Web pages using iframes
π’ Sync is e2e encrypted
π΄ The code for e2e encryption can’t be audited because it is closed source
π‘ Tons of functionalities must be configured by editing a EDN file that it is very easy to break
π’ Forum based on Discourse
π΄ Use (and abuse) of Discord, even release announcements are made there
π‘ Some Matrix bridges
Concept: 8/10
Execution: 5/10
CC @logseq
Given the points above and the fact I backed #Logseq for a long time but addressing these issues may require years and maybe the project won’t survive anyway that long, what should I do? Move to a simpler but better supported system like #Emacs or wait and hope Logseq team figure out priorities?
Recent “AI” (sigh) native integration in Logseq (using OpenAI according to a GitHub branch of theirs, again zero communication by the team) lower my hopes a lot.
If they take money from people they should make clear what it will be used for.
#Logseq team setup a Feature Request category in the official forum and users are prompted to vote FRs there.
For a long time the top ones are: epub annotations, vim shortcuts, longform writing, custom todo/done/doing keywords and filters for page content and not only references section.
All of these (except maybe vim shortcuts) perfectly align with what Logseq provided so far in my opinion.
I see no development on GitHub about these, the team develops privately, the only thing we have is an outdated Trello board that has never been respected nor actual new features are listed there. It looks like the board of a Logseq from a parallel universe.
But now I see an “AI” branch on GitHub by the founder and lead developer that it seems a deep integration of Logseq with OpenAI services. To my knowledge no one made a Feature Request for it. It looks like they are focusing on what they want or what they expect people to like, ignoring the feedback system they setup.
CC @logseq
@post @logseq
I guess AI is top of the list as Notion, Reflect etc. have / will have it so to not be left behind, Logseq are also implementing this - I personally have no issue but it could have been communicated a bit better. They are a small team and are busy but posting a message now and again does not take too long and goes a long way in my opinion
My overall real worry for Logseq is where are they going and how will they get there. Nearly every release brings bugs which puts people off and there is no clear way of how they will remain sustainable in the long run. I am hoping this communication that should be released this week will help answer some of these questions
There are different ways to integrate “AI” tech and using OpenAI services is not a privacy-oriented one though.
Logseq description on GitHub is:
“A privacy-first, open-source platform for knowledge management and collaboration”
On the other hand, OpenAI’s ChatGPT was blocked in Italy by the Italian authorities for severely violating privacy legislation and I don’t understand why other countries don’t follow.
There is the plugins platform for this kind of things and plugins using OpenAI are already available. The team shipping native integration with OpenAI out of nothing isn’t just a communication issue in my opinion.
@post @logseq I have to agree with you on the FRs. The way it is currently implemented does not work. This is especially as after using Logseq for a few years and being close to it, I am still unsure where exactly to post FRs (forum, GitHub, Discord, Twitter). On top of that as you mention, most top requests are not actually implemented - I understand it can be hard and very time-consuming, but I feel there should be a lot more communication from the devs.