How To Install "remembrance-agent" Package on Ubuntu
Quick Install Instructions of remembrance-agent on Ubuntu Server. It’s Super Easy! simply click on Copy button to copy the command and paste into your command line terminal using built-in APT package manager.
See below for quick step by step instructions of SSH commands, Copy/Paste to avoid miss-spelling or accidently installing a different package.
See below for quick step by step instructions of SSH commands, Copy/Paste to avoid miss-spelling or accidently installing a different package.
Quick Install Steps:
Step 1
sudo apt-get update -y
Step 2
sudo apt-get install -y remembrance-agent
Step 3
Check the system logs to confirm that there are no related errors.
You can use
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to check the logs, manager servers, host multiple websites and apps on your servers and more. The apps run in docker containers, to learn more
see ZoomAdmin Features for list of features and demo videos. And you can start with the Free Plan.
see ZoomAdmin Features for list of features and demo videos. And you can start with the Free Plan.
Execute the commands above step by step.
You can simply hit the copy button to copy the command and paste into the command line interface.
Note: -y flag means to assume yes and silently install, without asking you questions in most cases.
Note: -y flag means to assume yes and silently install, without asking you questions in most cases.
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. 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.
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. 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.
Detailed Instructions:
Step 1
Run update command to update package repositories and get latest package information.
sudo apt-get update -y
Step 2
Run the install command with -y flag to quickly install the packages and dependencies.
sudo apt-get install -y remembrance-agent
Step 3
Check the system logs to confirm that there are no related errors.
You can use
ZoomAdmin
to check the logs, manager servers, host multiple websites and apps on your servers and more. The apps run in docker containers, to learn more
see ZoomAdmin Features for list of features and demo videos. And you can start with the Free Plan.
see ZoomAdmin Features for list of features and demo videos. And you can start with the Free Plan.