# Karakeep

> A bookmark-everything app with AI tagging and full text search

Category: Self hosted apps (https://aiarabicdev.com/self-hosted)
Canonical page: https://aiarabicdev.com/self-hosted/karakeep
Tags: bookmarks, ai, search, read-later, docker

Karakeep, formerly called Hoarder, saves links, notes and images in one place, tags them automatically with an AI model, and makes everything searchable. It is AGPL-3.0 licensed and can use a local model through Ollama instead of a cloud API.

## Facts

- Licence: AGPL-3.0
- Language: TypeScript
- Cost: Free and open source
- Self hostable: yes
- Added: 2026-10-25
- Last checked: 2026-10-25

## Links

- Website: https://karakeep.app
- Source: https://github.com/karakeep-app/karakeep
- Docs: https://docs.karakeep.app

## Save anything, find it later

Karakeep accepts a link, a quick note, an image or a PDF, fetches the page content and a preview, and then asks a language model to suggest tags. Full text search covers the saved content, so you can find a link by something written inside the page, not only its title.

It suits people who throw everything into one inbox and rely on search later. Browser extensions and mobile apps make saving quick, and lists and rules help tidy things once they pile up.

## What running it costs

The standard setup has three parts: the web app, a headless Chrome for fetching pages, and Meilisearch for search. Together they want a gigabyte or two of RAM. AI tagging needs either an API key for a hosted model, which sends your content to that provider, or a local model through Ollama, which needs its own resources.

Back up the data volume, which holds the database and saved assets. Keep it private, since it contains everything you saved. The rename from Hoarder means older guides and image names still use the old name.

## Reach for it when

- you save links, notes and images in one place and search later
- you want automatic tagging, possibly with a local model
- you want full text search inside the pages you saved

## Watch out for

- AI tagging sends content to a hosted model unless you run a local one
- it is three services with a headless browser and a search engine, not one light container
- the project was renamed from Hoarder, so older tutorials use outdated names

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