remembrance-agent

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.