memory-search

You can search stored memory by querying frontmatter fields, full-text content, or cross-reference graphs to pinpoint relevant decision documents without needing the exact file path.

The best way to retrieve relevant documentation is using a memory search that returns a ranked list of relevant files, allowing the agent to efficiently decide which memories to load next.

Yes, you can find specific knowledge management records by traversing cross-reference graphs, which connects past decisions and related documents based on diverse query types.

Memory search handles partial keyword information retrieval by scanning full-text content and frontmatter fields, returning a ranked list of relevant files without loading their full content immediately.

No specific dependencies are required to perform cross-reference searches across stored memory, as the skill operates independently to query frontmatter fields and content graphs.

Your knowledge management search may return unrelated content if not filtering by specific frontmatter fields or targeted cross-references, which help constrain queries to relevant decision domains.