gorse-io/gorse

Health v2 · maintenance only

Adoption not part of the score

9808 stars · 912 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

service · maturity active

machine-learning search-engine api-framework monitoring data-visualization machine-learning artificial-intelligence large-language-models analytics self-hosted self-hosted go windows recommender-system collaborative-filtering llm-reranker multimodal-embeddings personalization restful-api docker kubernetes linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="gorse-io/gorse")