Archivy is a self-hosted knowledge repository that allows you to safely preserve useful content that contributes to your knowledge bank.

Features:

• If you add bookmarks, their webpages contents' will be saved to ensure that you will always have access to it, in sync with the idea of digital preservation.
• Allows you to sync up with Pocket to gather bookmarks from there too.
• Everything is a file! For ease of access and editing, all the content is stored in markdown files with yaml front matter.
• Extensible search with Elasticsearch and its Query DSL

Upcoming:

• Integrations with HN, Reddit, and many more.
• Add submodules for digital identity so archivy syncs to your hn upvoted posts, reddit saved, etc...
• Option to compile data to a static site that can be deployed.
• Dark theme
• UI for grouping by tag and use NLP to automatically generate connections between posts

• Make sure your system has Python and pip installed.
• Install the python package with pip install archivy
• There you go! You should be able to start the app by running archivy in your terminal.

Archivy uses environment variables for its configuration:

ARCHIVY_DATA_DIR by default will be set by the appdirs python library:

On Linux systems, it follows the XDG specification: ~/.local/share/archivy

See the docker branch for details on setting things up with docker.

Archivy uses ElasticSearch to provide efficient full-text search.

Instructions to install and run the service are provided here.

Append these two lines to your elasticsearch.yml config file:

http.cors.enabled: true
http.cors.allow-origin: "http://localhost:5000"

Run archivy like this:

ELASTICSEARCH_ENABLED=1 archivy

If you're interested in developing and improving Archivy, please join our community discord server.

Feel free to open issues if you encounter bugs, have any ideas / feature requests and use the discord server for more casual discussion.