Meme Search
AI-powered meme search engine. Automatically extracts descriptions from images using vision-language models, then indexes with vector embeddings for semantic and keyword search.
Maintained, but at a slower pace than the leaders in its category.
Commit activity more than 40% of tracked projects; popularity more than 30%. How this is calculated.
Commits, last 11 months
| Stars | 752 |
|---|---|
| Latest release | v2.3.2 · 5 Aug 2026 |
| Repo updated | 10 Sept 2026 |
| Licence | Apache-2.0 |
| Built with | Docker |
Is Meme Search actively maintained?
Development is ongoing. The repository recorded 170 commits over the same window, and the last three months alone account for 98 of them.
The most recent tagged release, v2.3.2, shipped about two months ago — a current, installable version exists today.
Meme Search ranks #9 of 16 in Search Engines, placing it mid-table for maintenance activity.
What Meme Search actually does
Meme Search is an AI-driven search engine that indexes image collections using vision-language models and vector embeddings. It automatically generates text descriptions from images to enable both semantic and keyword-based retrieval.
Best fit: It is suited for individuals or teams with large, unorganised image collections who need to retrieve specific files using natural language queries.
Worth knowing: Running vision-language models and generating vector embeddings locally will require significant computational resources, likely demanding a dedicated GPU for acceptable performance.
Deployment notes
As a Docker-based deployment, you will typically need to map persistent volumes for the image library and vector database, alongside configuring a reverse proxy for HTTPS.
Links
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