How to Install and Uninstall remembrance-agent Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: December 23,2024

1. Install "remembrance-agent" package

Please follow the guidelines below to install remembrance-agent on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                remembrance-agent
            
                    
    
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2. Uninstall "remembrance-agent" package

Here is a brief guide to show you how to uninstall remembrance-agent on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                remembrance-agent
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the remembrance-agent package on Ubuntu 20.10 (Groovy Gorilla)

Package: remembrance-agent
Architecture: amd64
Version: 2.12-7build1
Priority: optional
Section: universe/misc
Source: remem
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Javier Fernandez-Sanguino Pen~a
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 341
Depends: emacs21 | emacsen, debconf | debconf-2.0, libc6 (>= 2.14), libpcre3
Filename: pool/universe/r/remem/remembrance-agent_2.12-7build1_amd64.deb
Size: 87664
MD5sum: 2d9758db273c0ae6827c52000e28efb5
SHA1: 4c05ba812462e705136de0973d610654eb43099d
SHA256: 4594023a00421a90021ce5e22ee815a570dce3cb4093dba520c778c8d7289b00
SHA512: 04831d0724a713a7c206362820723c9248cb20d6d1f085e5098b20f2918d419f85884d7de5fc5dddca5412891b35b69501932e14113d84c3806ca67c393ad4a7
Homepage: http://www.remem.org
Description-en: Emacs mode to help find relevant texts
The Remembrance Agent is one of the projects being developed by the MIT
Media Lab's software agents group. Given a collection of the user's
accumulated email, Usenet news articles, papers, saved HTML files and other
text notes, it attempts to find those documents which are most relevant to
the user's current context. That is, it searches this collection of text
for the documents which bear the highest word-for-word similarity to the
text the user is currently editing, in the hope that they will also bear
high conceptual similarity and thus be useful to the user's current work.
These suggestions are continuously displayed in a small buffer at the
bottom of the user's emacs buffer. If a suggestion looks useful, the full
text can be retrieved with a single command.
Description-md5: dd0739daa838fa0c80d0981ea4e64168