memori-mcp-usage
From MemoriLabs
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.
Defines how an agent uses Memori MCP tools for recall, summaries, and durable memory storage across sessions.
Use it when
- Task depends on prior sessions, decisions, or constraints
- Starting a session and need a state/daily brief
- Recovering working state after context compaction
- Checking Memori quota/usage or reporting bad recall via feedback
Skip it if
- Task is fully self-contained with no historical context
- You don't have a Memori account/API key or MCP server configured
- Query is trivial, one-off, or purely administrative
Facts
- Repository
- MemoriLabs/Memori
- Status
- Actively maintained
- Last commit
Source preview
The instructions Claude Code reads when this skill runs.
# Memori skills file
## Overview
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.
## Core Instruction
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:
- Available Memori capabilities
- Tooling and integrations
- Expected behavior and constraints
- Safety and privacy implications
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.
## Quick Reference
- `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 aView full source on GitHub →Other skills
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