Memori MCP Usage

Memori MCP Usage is an AI Engineering skill for Claude Code, published by MemoriLabs in Memori.

15.9K stars3K forkson MemoriLabs/MemoriAdded 2026/08/14+1% in starsRepository updated 2026/08/13

agentagent-memoryagenticaiaiai-memoryclaude-codeenterprisehermesllmlong-short-term-memorymemorymemory-managementopenclawpythonragstate-managementstatefultypescript

Install in seconds

Install Memori MCP Usage

Copy Memori MCP Usage into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/MemoriLabs/Memori/tree/main/docs/memori-cloud/mcp/skills/memori-mcp ~/.claude/skills/memori-mcp

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/MemoriLabs/Memori.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: docs/memori-cloud/mcp/skills/memori-mcp/SKILL.md in MemoriLabs/Memori
Installs to: ~/.claude/skills/memori-mcp
Collection: One of 4 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Memori MCP Usage does

Memori MCP Usage guides an MCP-connected agent to use Memori tools for targeted recall, summaries, post-compaction briefs, durable memory augmentation, quota checks, signup, feedback, preferences, prior context, and cross-session continuity.

Memori MCP Usage is cataloged under AI Engineering on DirSkills. Memori MCP Usage comes from a repository tagged agent, agent-memory, agenticai, ai and ai-memory.

Documentation

README

Excerpt

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:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Memori MCP Usage

What else does MemoriLabs publish alongside Memori MCP Usage?
Memori MCP Usage is one of 4 skills that DirSkills catalogs from MemoriLabs/Memori, the repository it ships in. Its siblings there include Memori, Memori and Memori. Each one is a separate skill with its own page in this directory, installs the same way Memori MCP Usage does, and is maintained by MemoriLabs in that same repository. The rest of the collection is listed on the MemoriLabs/Memori page.
How does Memori MCP Usage compare to other AI Engineering skills?
Memori MCP Usage ranks #289 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Memori MCP Usage against them. Open each page to compare what they document and how they install.