weechat-matrix VS seshat

I haven't had much occasion to use it (I dipped into a gaming group that used Matrix but quickly fell out of it) but https://github.com/poljar/weechat-matrix seems mostly adequate if you are a weechat user and just need the text chat features. Feels just like IRC.

I followed this description - weechat matrix github

For a nicely documented and clean Matrix client implementation in Python, see weechat-matrix[1] and the matrix-nio[2] library it's based on. There's also Mirage[3] which is also based on matrix-nio and is a GUI client.

[1]: https://github.com/poljar/weechat-matrix

[2]: https://github.com/poljar/matrix-nio

[3]: https://github.com/mirukana/mirage

The weechat plugin unfortunately cannot coexist with wee-slack (https://github.com/wee-slack/wee-slack/issues/812, https://github.com/poljar/weechat-matrix/issues/248), so if one wants to participate in the Haskell Foundation Slack, or any other Slack (e.g. for work), then Matrix is off limits. Yeah, it's just a bug that will eventually get fixed, but it does make things unnecessarily complicated. :-/

I have installed the weechat client with matrix (https://github.com/poljar/weechat-matrix) and it is running properly. However, I cannot figure out how to install scripts. Particularly, the upload and download files scripts mentioned in the github page, since they are not in the official list of scripts. How should I proceed?

> Can you already say something about encrypted search support in Element X?

It's planned, and should be way easier to do than on old Element given we can hook the clientside search indexer (https://github.com/matrix-org/seshat), which happens to be in Rust, directly into matrix-rust-sdk and thence both EIX and EAX. Whereas previously we'd have had to do custom integs with Seshat on EI and EA like the current one on Element Desktop, which just becomes a maintenance nightmare. Hopefully should be ready in the next months.

> Also since you mentioned it, is multiaccount support something that we can realistically expect to see in Element X someday (maybe even in a v1.0?). If I remember correctly for the previous iterations of the clients the status was mostly "maybe one day" or "the architecture does not really support it".

Definitely. We actually had it pre-Element in Matrix Console, and then it got lost in Element. The hope is to get it into Element X relatively early.

https://github.com/matrix-org/seshat - we’ve had it for years on desktop; just need to hook it up on mobile. it’s currently blocked behind unifying sdks, so we don’t have to do it twice in iOS & Android.

Excellent noise cancellation (and background noise elimination, microphone scratch noise elimination etc). Ideally you need something like https://krisp.ai/ or https://workspaceupdates.googleblog.com/2021/06/background-n... in the mix - but doing this in an E2EE-friendly and privacy preserving manner is Hard. However, just like we solved E2EE full text search by doing it clientside and making the indexes gossipable between your clients (https://github.com/matrix-org/seshat), we'll have a go at doing something similar for this problem too.

The competitive gap with Discord in terms of media quality is probably something like:

* Need a low-latency SFU. This should be very doable; not only are there a lot of good FOSS SFUs to build on top of these days, the history of the Matrix team is actually that we built VoIP stacks fulltime before we shifted focus to Matrix, and we've built MCUs and media servers of all flavours in the past. MSC3401 should also give us a competitive edge given latency will be automagically minimised by using the physically closest decentralised SFU, and letting anyone bring their SFU to the party.

* Needs a SFU with good rate control (and/or FEC). This is probably the single most important thing to get right in terms of quality. Signal wrote up a good overview of why: https://signal.org/blog/how-to-build-encrypted-group-calls/

* Excellent noise cancellation (and background noise elimination, microphone scratch noise elimination etc). Ideally you need something like https://krisp.ai/ or https://workspaceupdates.googleblog.com/2021/06/background-n... in the mix - but doing this in an E2EE-friendly and privacy preserving manner is Hard. However, just like we solved E2EE full text search by doing it clientside and making the indexes gossipable between your clients (https://github.com/matrix-org/seshat), we'll have a go at doing something similar for this problem too.

* Excellent automatic gain control. The importance of normalising/compressing everyone's audio so they're equivalent loudness is really important.

We're also in the process of adding in spatial audio (unsure if Discord has that) which should help a tonne with distinguishing the different audio feeds.

We can probably also be more bullish about supporting new audio codecs like Lyra.

Messages are stored in encrypted form on the Beeper server and the Beeper client has a local search index (the same one used by Element desktop: https://github.com/matrix-org/seshat)