Skip to main content

Memacs extracts metadata from many different existing data sources on your computer and generates files which are readable by GNU Emacs (Org-Mode).

Project description

What were you doing on February 14th of 2007? On which tasks were you working on that very day you met your girl friend? When was the last appointments with your dentist? Who called you on telephone during that meeting with your customer last month?

Most people can not answer such questions. With Memacs you can!

Memacs extracts metadata (subjects, timestamps, contact information, …) from many different existing data sources (file names, emails, tweets, bookmarks, …) on your computer and generates files which are readable by GNU Emacs with Org-mode.

Please do read https://github.com/novoid/Memacs for further information.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

memacs-2018.07.22.1-py2-none-any.whl (119.8 kB view hashes)

Uploaded Python 2

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