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Using the dashboard
The dashboard shows at a glance how much memory your workspace holds, how it is being used, and how close you are to your plan's limits.
For: Member role and above (not shown to Viewers) · Where: Dashboard in the left menu of memory.kagura-ai.com
1 Open the dashboard
Sign in at memory.kagura-ai.com and choose Dashboard in the left menu. The top of the page shows "Overview" with the workspace name, your current plan, and the workspace description. Every number is for the workspace you have selected.
Viewers don't see the dashboard; they are taken to the context list instead.
2 Filter and refresh
Use the controls at the top right to change what is shown.
- "Filter by context" — choose "All contexts" or a single context. With a single context selected, the memory timeline counts only that context and the "Context Breakdown" table is hidden.
- "Refresh" — reloads the latest numbers.
3 Your first visit
If the workspace has no contexts yet and your role can create one, a "Welcome to Kagura Memory" card appears. It walks you to your first recall in about five minutes.
- Create your first context — a named collection for memories, such as a project or topic.
- Save your first memory — edit the sample or save it as is.
- Recall it — check that the memory you just saved is found even when you phrase it differently.
If no embedding key is set up yet, you first see "Set up embeddings first". You can close the card with "Dismiss onboarding".
4 Key numbers
The four cards at the top summarize the whole workspace.
- "Total Memories" — how many memories are stored.
- "Contexts" — how many contexts the workspace has.
- "API Calls (7d)" — how many times AI clients or the API called it in the past 7 days.
- "Active Users (7d)" — how many members used memory in the past 7 days.
If some memories could not be indexed for search, "n not searchable" appears under Total Memories and a "Some memories aren't searchable yet" notice appears at the top. No data is lost; they become searchable once indexing succeeds.
5 Memory Creation Timeline
A chart of how many memories were created each day, switchable between 7 and 30 days. Use it to check that your AI clients are connected and how fast the team's memory is growing.
6 Usage by context
The "Context Breakdown" table compares how each context is used (shown when "All contexts" is selected).
- Context name — whether it is a private or shared context, and who shared or created it.
- Memories and % of total — how many memories the context holds and its share of the workspace.
- Owner — the context's owner; yours show as "You".
- API Calls (7d), Active Users (7d), Members — how the context is used and how many members belong to it.
- Last activity — when it was last used.
Other members' private contexts are grouped as "Others (n private)" and their contents are "Hidden".
7 Plan usage
The "Usage" section at the bottom shows how much of your plan's limits you are using.
- Memories — usage against the number of memories you can store, plus how many you created today against the daily limit (resets at 00:00 UTC).
- "API Calls Today" and "API Calls This Week" — usage against each limit.
- "Sleep-enabled Contexts" — on plans with Sleep, how many contexts have it turned on and the limit.
- "Owned Workspaces" — how many workspaces you own and the limit; workspaces you join by invitation don't count.
- "Usage Trend (Last 7 Days)" and "Usage by Endpoint (Last 30 Days)" — API calls per day, and how API and MCP tools are used.
When memories reach 80% of the limit you see "Warning: Quota Usage High", at 95% "Critical: Approaching Limit", and at 100% "Quota Exceeded", each with a link to change your plan. Each plan's limits are in the comparison table under Pricing.