What problem does it solve? AI assistants forget everything between sessions, forcing users to re-explain decisions, projects, and context. This Skill connects the assistant to a persistent Basic Memory knowledge graph so prior decisions, meetings, and insights can be searched, recalled, and captured across sessions. ## Core Features & Use Cases - Search before answering: Use bm_search and bm_read to recall prior decisions, project notes, and meeting outcomes before responding. - Capture knowledge: Use bm_write and bm_edit to save decisions, meeting notes, and insights as structured Markdown notes with observations and relations. - Multi-project routing: Use bm_projects, bm_workspaces, and workspace-qualified permalinks to read and write notes across local and cloud projects. - Use Case: A user asks "what did we decide about the auth strategy?" — the assistant runs bm_search, reads the matching decision note, and answers with the recorded context instead of guessing. ## Quick Start Ask the assistant to search Basic Memory for notes about a past decision or project before answering your question.
