Plain-AyI
← All projects
Running AI at scale

Gorse

A recommendation engine that learns from user activity to suggest items each person may like.

New this week

What it does

Gorse is an open-source recommender system, the kind of software that powers "you might also like" suggestions. You feed it your items, users and their actions, such as likes or views, and it trains models to recommend items to each person.

It can mix several kinds of suggestions, such as newest items, similar items and what similar people liked. It can also handle text, images and video by turning them into embeddings (number codes that capture meaning).

It comes with a dashboard for editing the recommendation pipeline, monitoring the system and managing data.

Who it's for

Developers and businesses adding personalized recommendations to a website or app.

Can I use it without coding?

With some setup. A quick demo runs with Docker, but real use means connecting it to your own app and database. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Server
Computer
Made for servers or data centres
Privacy
Runs on your own device: your data stays with you
API key
Not needed

Try it

  1. Install Docker on your computer.
  2. Start Gorse's beginner playground mode, which loads sample data.
  3. Open the dashboard in your browser to see recommendations being built.

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe

Where people are talking about it