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  1. SDKs
  2. /Python
  3. /bluesky-feed-generator
MarshalX

bluesky-feed-generator

A Python SDK for Bluesky and AT Protocol by MarshalX

🦋 Bluesky custom feed algorithms server in Python 🐍

GitHub Stats

297stars
90forks
8contributors
3open issues

Dates

Created:May 27, 2023
Last updated:January 31, 2026

README

The following content is from bluesky-feed-generator's GitHub repository. All rights reserved by the original author.

ATProto Feed Generator powered by The AT Protocol SDK for Python

Feed Generators are services that provide custom algorithms to users through the AT Protocol.

Official overview (read it first): https://github.com/bluesky-social/feed-generator#overview

Getting Started

We've set up this simple server with SQLite to store and query data. Feel free to switch this out for whichever database you prefer.

Next, you will need to do two things:

  1. Implement filtering logic in server/data_filter.py.
  2. Copy .env.example to .env
  3. Optionally implement custom feed generation logic in server/algos.

We've taken care of setting this server up with a did:web. However, you're free to switch this out for did:plc if you like - you may want to if you expect this Feed Generator to be long-standing and possibly migrating domains.

Publishing your feed

To publish your feed, simply run python publish_feed.py.

To update your feed's display data (name, avatar, description, etc.), just update the relevant variables in .env and re-run the script.

After successfully running the script, you should be able to see your feed from within the app, as well as share it by embedding a link in a post (similar to a quote post).

Running the Server

Install Python 3.7+.

Run setupvenv.sh to setup a virtual environment and install the dependencies:

./setupvenv.sh

Note: To get value for FEED_URI you need to publish the feed first

To run a development Flask server:

flask run

Warning The Flask development server is not designed for production use. In production, you should use production WSGI server such as waitress behind a reverse proxy such as NGINX instead.

pip install waitress
waitress-serve --listen=127.0.0.1:8080 server.app:app

To run a development server with debugging:

flask --debug run

Note: Duplication of data stream instances in debug mode is fine.

Warning: If you want to run server in many workers, you should run Data Stream (Firehose) separately.

Endpoints

  • /.well-known/did.json
  • /xrpc/app.bsky.feed.describeFeedGenerator
  • /xrpc/app.bsky.feed.getFeedSkeleton

License

MIT

Topics

atpatprotoblueskybluesky-feedbluesky-generatorbskycustom-feedfeed-generator

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Resources

GitHub RepositoryProject Website

License

MIT

Author

MarshalX
MarshalX

Activity

Last commit: January 31, 2026
Commit frequency: Unknown

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