> ## Documentation Index > Fetch the complete documentation index at: https://docs.prisme.ai/llms.txt > Use this file to discover all available pages before exploring further. # Topics > Memories grouped by subject, with trend direction, keyword extraction, and per-type breakdown. Topics groups every memory the agents have captured by subject and surfaces what's trending up, trending down, or stable. Memory Topics page with stats cards and the topics table sorted by count ## Stats cards The four KPI cards at the top: | Card | Meaning | | ------------------ | --------------------------------------------------------------- | | **Total Topics** | Distinct topics found across all memories. | | **Total Memories** | All memories belonging to those topics. | | **Trending Up** | Topics whose memory count increased materially over the period. | | **Trending Down** | Topics whose memory count decreased. | ## Filtering and sorting The header row above the table has: * A search input that matches against topic names and extracted keywords. * A **Sort by** selector — Count or Trend. * A **Trend** filter — All, Trending Up, Trending Down, Stable. * A **Table / Cards** view toggle. ## Table view The default. Each row shows: * The topic name. * **Memories** — total memory count for the topic. * **Users** — distinct users mentioning it. * **Agents** — agents that captured at least one memory under it. * A trend badge (`+X%`, `−Y%`, or "Stable"). * Up to three extracted keywords, with a "+N more" pill if there are more. Pagination is at the bottom: **Showing X–Y of Z topics**, with Previous / Next buttons. ## Card view Click **Cards** in the view toggle. Each card shows: * The topic name and trend badge. * Memories / Users / Agents counts. * The full keyword list. * A **type breakdown** mini-bar (Facts / Preferences / Instructions) showing what kinds of memory dominate the topic. * Up to three example memory snippets. Memory Topics in card view showing keywords, type breakdown, and example memories Card view is most useful when you're exploring a small handful of topics in depth. For bulk scanning, use the Table view. ## How topics are derived The Topics rollup is built from the same memory store the [Memories](/products/ai-insights/memories) page reads from. Each topic is a cluster of related memories the analytics pipeline found cohesive enough to treat as a single subject. Keywords are pulled from the underlying memory texts. ## What to do with this page * **Spot priorities for documentation.** A trending-up topic with high user count is a candidate for a knowledge base article or an explicit agent instruction. * **Detect drift.** A trending-down topic that used to be popular often signals the agent stopped handling it well, or that users moved to a different agent for it. * **Find taxonomy gaps.** If a key business topic isn't in the list, your agents may not be retaining the right kind of memory — check the type distribution on [Memories](/products/ai-insights/memories). ## Where to go next Volume, type breakdown, and knowledge gaps. Common usage patterns and personalization depth.