Skip to main content

Minimalist knowledge base focused on digital preservation and building your second brain.

Project description

Archivy

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

demo (low res)

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

Setup

Local Setup

  • 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.

Configuration

Archivy uses environment variables for its configuration:

Variable Default Description
ARCHIVY_DATA_DIR System-dependant, see below Directory in which data will be saved
ELASTICSEARCH_ENABLED 0 Enable Elasticsearch integration
ELASTICSEARCH_URL http://localhost:9200 Url to the elasticsearch server

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

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

With Docker

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

Setting up Search

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

Community and Development

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

archivy-0.0.8.tar.gz (19.9 kB view hashes)

Uploaded Source

Built Distribution

archivy-0.0.8-py3-none-any.whl (22.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page