||1 month ago|
|installation||3 years ago|
|relay||1 month ago|
|.gitignore||2 years ago|
|Dockerfile||1 month ago|
|LICENSE||3 years ago|
|README.md||1 month ago|
|pyproject.toml||3 months ago|
|relay.yaml.example||1 year ago|
|setup.cfg||3 months ago|
|setup.py||3 months ago|
A generic LitePub message relay. Forked from git.pleroma.social/pleroma/relay
ActivityRelay is copyrighted, but free software, licensed under the terms of the GNU
Affero General Public License version 3 (AGPLv3) license. You can find a copy of it
in this package as the
You need at least Python 3.6 (latest version of 3.x recommended) to make use of this software. It simply will not run on older Python versions.
Download the project and install with pip (
pip3 install .).
relay.yaml and edit it as appropriate:
$ cp relay.yaml.example relay.yaml $ $EDITOR relay.yaml
Finally, you can launch the relay:
$ python3 -m relay
It is suggested to run this under some sort of supervisor, such as runit, daemontools, s6 or systemd. Configuration of the supervisor is not covered here, as it is different depending on which system you have available.
The bot runs a webserver, internally, on localhost at port 8080. This needs to be forwarded by nginx or similar. The webserver is used to receive ActivityPub messages, and needs to be secured with an SSL certificate inside nginx or similar. Configuration of your webserver is not discussed here, but any guide explaining how to configure a modern non-PHP web application should cover it.
Normally, you would direct your LitePub instance software to follow the LitePub actor found on the relay. In Pleroma this would be something like:
$ MIX_ENV=prod mix relay_follow https://your.relay.hostname/actor
Mastodon uses an entirely different relay protocol but supports LitePub relay protocol
as well when the Mastodon relay handshake is used. In these cases, Mastodon relay
clients should follow
http://your.relay.hostname/inbox as they would with Mastodon's
own relay software.
Performance is very good, with all data being stored in memory and serialized to a JSON-LD object graph. Worker coroutines are spawned in the background to distribute the messages in a scatter-gather pattern. Performance is comparable to, if not superior to, the Mastodon relay software, with improved memory efficiency.
You can perform a few management tasks such as peering or depeering other relays by
This will show the available management tasks:
$ python3 -m relay.manage
When following remote relays, you should use the
/actor endpoint as you would in
Pleroma and other LitePub-compliant software.
You can run ActivityRelay with docker. Edit
relay.yaml so that the database
location is set to
./data/relay.jsonld and then build and run the docker
$ docker build -t activityrelay:latest . $ docker run -d -p 8080:8080 -v activityrelay-data:/src/data activityrelay:latest