Fewer subscriptions.
More vibe-coding.

Open-source tools & agent skills to build the things you’re paying for.

Karakeep

Project29.5K

Self-host a searchable home for bookmarks, notes, images, and PDFs.

Added 2026-10-07
Replaces
GitHub

What you can build

  • Enter saved feed-item titles and URLs, score their relevance against a topic rubric, and produce a curated source list with reasons for exclusions.
  • Paste text extracted from a saved image or PDF, map it to inventory fields, and export reviewed records as CSV.
  • Enter a research question, source URLs, and saved highlights; classify each highlight as claim, support, or counterpoint and output a source-linked matrix.
  • Paste bookmark titles, URLs, tags, and list names; identify duplicate URLs and missing tags, then produce a cleanup proposal without changing saved data.
  • Paste saved URLs, check their current HTTP responses, and produce a dated report of reachable and failing links without modifying Karakeep.

Try this prompt

Build a small end-to-end URL availability audit companion. Let a user paste saved URLs, check each URL's current HTTP response, and download a report containing the input URL, result, and check time. Preserve the input list and do not change Karakeep data. Make pasted URLs the explicit input boundary; do not assume undocumented Karakeep API endpoints or fields. Include validation, clear handling for inaccessible URLs, and tests for successful and failed checks.

Get started

  1. Prepare the host

    Follow the official Docker installation guide. Docker and Docker Compose are required; create a directory for the supplied Compose file and environment variables.

  2. Configure the service

    Create the .env file with KARAKEEP_VERSION, NEXTAUTH_SECRET, MEILI_MASTER_KEY, and NEXTAUTH_URL. Replace the example secrets and set the URL to your server address.

  3. Start the app and choose AI options

    Follow the guide's Compose workflow and open the service on port 3000. Automatic tagging is optional; configure an OpenAI key or consult the provider guide for alternatives such as local Ollama inference.

License & notes

AGPL-3.0Karakeep is licensed under AGPL-3.0, which permits commercial use subject to its terms. Private modification and use alone do not require publishing source. Conveying a covered modified version has source and licensing conditions; users interacting remotely with a modified version, including internal users, must be offered its corresponding source. Assess obligations for your deployment and any separate components. Self-hosting requires infrastructure and storage. AI tagging is optional: external model APIs may incur costs, while local inference uses your compute. Managed Karakeep Cloud is separate; no prices are quoted here.

  • Self-hosting requires you to provide and maintain infrastructure, storage, and configured services.
  • AI tagging is optional; external inference may incur API costs, while local models use local compute.
  • The suggested companion workflows use pasted or manually entered data; the supplied documentation does not establish specific export interfaces for them.
  • AGPL-3.0 obligations depend on modification and conveyance. Users interacting remotely with a modified version, including internal users, must be offered its corresponding source.

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