Turn raw, unstructured input into structured Basic Memory entities. Meeting transcripts, conversation logs, pasted documents, email threads — anything with information worth preserving gets parsed, cross-referenced against existing knowledge, and written as proper notes.
Don't rewrite or summarize the source content. Preserve it verbatim in the note — you'll add structured observations alongside it.
Scan the content for entities worth tracking in the knowledge graph:
Process unstructured external input (meeting transcripts, conversation logs, pasted documents) into structured Basic Memory entities. Extracts entities, searches for existing matches, proposes new entities with approval, creates notes with observations and relations, and captures action items. Source: basicmachines-co/basic-memory-skills.