ai-memory retrieval

Use this skill for read-only ai-memory lookups, catch-up, and evaluating remembered project knowledge before you design, debug, or edit.

Tools in this cluster

memory_query searches the current project's wiki for prior decisions, gotchas, procedures, rules, and session notes.
memory_recent lists the most recently updated pages when the user wants a light activity check.
memory_read_page fetches a full page body after a search hit or direct path lookup.
memory_read_session_observations reads one session's raw hook observations (prompts, tool calls, stops) in capture order, paged and body-capped, when the user asks what actually happened in a session or wants to check a compiled page against its evidence.
memory_status reports whether ai-memory is healthy and how large the knowledge base is.
memory_briefing returns a structured read-only snapshot for agent consumption.
memory_explore returns a prose digest when the user asks for an open-ended catch-up.

Choose scope from the MCP client's identity support: