Persistent knowledge storage using basic-memory CLI. Use to save notes, search memories semantically, and build context for topics across sessions.

Memory Persistent Knowledge Storage Store and retrieve knowledge across sessions using semantic search. Prerequisites Install basic memory: CLI Reference Write a Note Read a Note Search Memories Build Context for a Topic List Recent Activity Continue Conversation Sync Database Check Status Note Format Notes are stored as markdown with YAML frontmatter: Workflow Patterns Save Learning When you discover something useful: Save Decision When making an architectural decision: Retrieve Context Before starting related work: Review Recent Work Use Cases Personal Wiki Store code snippets and patterns Document project decisions Keep reference material Learning Log Record things you learn Tag by topic for later retrieval Build knowledge over time Project Context Save project specific knowledge Retrieve relevant context at session start Share knowledge across sessions Best Practices 1. Use meaningful titles They become permalinks 2. Add tags Improves search and organization 3. Use markdown Full markdown support in content 4. Organize with folders Group related notes 5. Search before writing Check if knowledge already exists 6. Keep notes focused One topic per note 7. Update, don't duplicate Revise existing notes Integration Pattern Session Start During Work Session End