Ross ROSS = Recommend OSS · open-source software intelligence for agents

MemeMeow-Studio/MemeMeow

Some data may be outdated — see provenance labels.

智能管理表情包 observed · 2026-09-21

github.com/MemeMeow-Studio/MemeMeow · homepage · Python · MIT (permissive) observed · 2026-09-21

Health v2 · maintenance only

64/100

  • Activity 95
  • Release rhythm 35
  • Longevity 44

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 616
  • days_rel: n/a
  • days_push: 30
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1264 stars · 37 forks observed · 2026-09-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MemeMeow is a self-hosted meme/sticker management and retrieval application that lets users find images by describing the desired scene in natural language. It uses embedding models for Q&A-style search, DINOv2 visual vectors for near-duplicate detection, and ships a Vue 3 web UI with a unified API deployed via Docker Compose.

Use cases

  • find memes by describing a scene in natural language
  • manage a personal sticker collection with semantic search
  • search reaction images without remembering filenames or tags
  • self-host a meme search service with a web interface
  • detect visually similar images using embeddings
  • serve meme search through an API

When to choose

  • you want natural-language search over a meme or sticker library
  • you prefer a self-hosted, Docker-based deployment with a web UI and API
  • you need both text-embedding and visual-similarity retrieval
  • you want a free retrieval-only setup with no API cost

When to avoid

  • you need general-purpose image asset management beyond memes
  • you cannot run Docker or a PostgreSQL + pgvector stack
  • you need a lightweight tool without an agent/async processing pipeline
  • you require guaranteed provenance of image content, since results are AI-contextualized

Facets

application · maturity active

search-engine nlp machine-learning image-processing web-framework api-framework artificial-intelligence image-processing web-development self-hosted python self-hosted meme-search semantic-search embeddings pgvector streamlit vue3 sticker-management natural-language-retrieval dinov2 search docker web-server linux

1 source

Member repositories

RepositoryRoleHealth v2
MemeMeow-Studio/MemeMeowmain64

For agents

markdown · JSON · MCP: product_card(name="MemeMeow-Studio/MemeMeow")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem