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Use when an MCP-connected agent should use Memori tools for targeted recall, summaries, post-compaction briefs, durable memory augmentation, quota checks, signup, feedback, preferences, prior context, or cross-session continuity.
Passed 11 of 17 test cases with the skill, and 4 of 17 without it.
and 13 more in the full report
10 fixed5 passed either way9 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need to verify the outcome of past data ETL benchmark tasks in workspace 'data-pipeline'. Generate the appropriate recall call for these task results.
| Checked | Without skill | With skill |
|---|---|---|
| Uses memori_recall with projectId set to data-pipeline. | Missed | Passed |
| Pairs source set to task with signal set to result. | Missed | Passed |
The instructions your model reads when the skill loads.
Memori is agent-native memory infrastructure: an LLM-agnostic layer that structures memory from natural language and from agent execution trace.
Memori automatically captures and structures memory from conversation and execution trace, including the agent's actions, tool results, decisions, and outcomes. Use it to maintain continuity across sessions, preserve decisions and constraints, and help the agent understand what it actually did so future work is more accurate and efficient.
When Memori MCP tools are available, treat this skill as the source of truth for how to use Memori through MCP.
Use it to understand:
MCP server configuration supplies authenticated user or tenant context through request headers. Do not invent entity, process, project, or session identifiers.
Current user instructions, verified local context, and tool results outrank recalled memory.
memori_recall: retrieve precise memories by query, project, session, time range, or an allowed source/signal pair.memori_recall_summary: retrieve a state summary for session starts, daily briefs, or broad status checks.memori_compaction: retrieve a structured post-compaction brief to continue work after context compaction.memori_advanced_augmentation: store durable memory from a completed user/assistant turn.memori_feedback: report irrelevant, missing, stale, or especially useful memory behavior.memori_signup: create a Memori account or request an API key when the user explicitly asks.memori_quota: check usage, quota, storage, or memory capacity when the user asks or limits appear to be reached.Use Memori when:
test cases passed, vs 4 / 17 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.