Abstract. For document-centric work, meta-information in form of annotations has proven useful to enhance search and other retrieval tasks. Since creating annotations manually is a lot of work, it is desirable to also tap less obtrusive sources of meta-information such as the user's context (projects the user is working on, currently relevant topics, etc.) and attention information (what text passages did the user read?). The Mymory project uses the semantic wiki Kaukolu that allows storing attention and context information in addition to standard semantic wiki metadata. Attention annotations are generated automatically using an eyetracker. All types of annotations get enriched with contextual information gathered by a context elicitation component. In this paper, an overview of the Mymory system including example use cases using context-sensitive filtering and semantic search is presented.