# gorse-io/gorse

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

Repository: https://github.com/gorse-io/gorse
Canonical: https://ross.abutalabs.com/products/gorse
Homepage: https://gorse.io
Language: Go
License: Apache-2.0
License Family: permissive
Topics: recommender-system, collaborative-filtering, go, knn, machine-learning
Last push: 2026-08-25T14:20:10+00:00

## Health v2 (maintenance only)
Score: 97/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 93, longevity 100
- inputs: {"age_days": 2941, "days_push": 8, "days_rel": 50, "gap_med": 25, "n_releases_24m": 14}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9808, forks 912 (observed 2026-08-28T04:10:37.302948+00:00)

## What it is
Gorse is an AI-powered open-source recommender system engine written in Go that ingests items, users, and interaction feedback and automatically trains models to generate personalized recommendations. It supports classical recommenders (collaborative filtering, item-to-item, factorization machines) and LLM-based rankers, multimodal content via embeddings, a GUI dashboard, and RESTful APIs with SDKs in many languages.

## Use cases
- add personalized recommendations to my website or app
- recommend similar items to users based on their history
- build a collaborative filtering recommender without writing ML code
- rerank recommendation lists with an LLM
- recommend content using text and image embeddings
- self-host a recommendation engine with a dashboard
- track user feedback and evaluate recommendation quality

## When to choose
- you need a ready-made, self-hosted recommender system with REST APIs and multi-language SDKs
- you want both classical collaborative filtering and LLM-based ranking in one engine
- you need multimodal recommendations over text, images, or video via embeddings
- you want a GUI dashboard for editing recommendation pipelines and monitoring performance

## When to avoid
- you need a lightweight in-process recommendation library embedded in your application rather than a separate service
- you require fully custom recommendation algorithms beyond the supported recommender types
- you cannot operate additional infrastructure (databases like Redis, MySQL, Postgres, MongoDB, or ClickHouse)
- your project needs a permissive-free commercial arrangement beyond Apache-2.0 terms

## Facets
- artifact type: service
- maturity: active
- function: machine-learning, search-engine, api-framework, monitoring, data-visualization
- domain: machine-learning, artificial-intelligence, large-language-models, analytics, self-hosted
- platform: self-hosted, go, windows
- tags: recommender-system, collaborative-filtering, llm-reranker, multimodal-embeddings, personalization, restful-api, docker, kubernetes, linux, macos

## Member repositories
- gorse-io/gorse (main) score 97

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:37.302948+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:20:57.941866+00:00, confidence not recorded.
  - readme: https://github.com/gorse-io/gorse (fetched 2026-08-28T04:10:37.302948+00:00, sha 3323d72d05fd)
  - homepage: https://gorse.io (fetched 2026-08-29T08:20:39.743900+00:00, sha 30de09f61b4e)
  - site_page: https://gorse.io/docs (fetched 2026-08-29T08:20:39.753524+00:00, sha 078b84d8e041)
  - site_page: https://gorse.io/docs/concepts/recommenders (fetched 2026-08-29T08:20:39.755495+00:00, sha 29db9a23f61b)
  - site_page: https://gorse.io/docs/concepts/data-source.html (fetched 2026-08-29T08:20:39.757590+00:00, sha c1c1dcf416b4)
  - site_page: https://gorse.io/docs/concepts/ranking.html (fetched 2026-08-29T08:20:39.759800+00:00, sha 6e53e7de13ab)
  - site_page: https://gorse.io/docs/dashboard/recflow.html (fetched 2026-08-29T08:20:39.761695+00:00, sha 08ecf931a364)
  - site_page: https://gorse.io/docs/api/restful-api.html (fetched 2026-08-29T08:20:39.763318+00:00, sha 63c91905238c)
  - site_page: https://gorse.io/docs/config.html (fetched 2026-08-29T08:20:39.765266+00:00, sha a29873e69397)
  - site_page: https://gorse.io/docs/concepts/evaluation.html (fetched 2026-08-29T08:20:39.767534+00:00, sha ed74e377089d)
- Data as of 2026-08-30T08:39:29.467469+00:00.