Memori

Memori 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

Copy Memori 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/integrations/openclaw/skills/memori ~/.claude/skills/memori

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: integrations/openclaw/skills/memori/SKILL.md in MemoriLabs/Memori
Installs to: ~/.claude/skills/memori
Collection: One of 4 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Memori does

Memori is agent-native memory infrastructure that captures and structures memory from conversation and execution trace, and retrieves it on demand. Use it to maintain continuity across sessions, preserve decisions and constraints, and help agents work more accurately and efficiently.

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

Documentation

README

Excerpt

Memori skills file

You have access to Memori, agent-native memory infrastructure: an LLM-agnostic layer that structures memory from not just natural language, but also from agent trace that comes from execution.

Memori automatically captures and structures memory from conversation and execution trace — including the agent's actions, tool results, decisions, and outcomes — and allows you to retrieve it on demand. Use it to maintain continuity across sessions, preserve decisions and constraints, and help the agent understand what it actually did so the next time it completes a task, it is more accurate and efficient.

Quick reference

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

Frequently asked about Memori

What else does MemoriLabs publish alongside Memori?
Memori is one of 4 skills that DirSkills catalogs from MemoriLabs/Memori, the repository it ships in. Its siblings there include Memori, Memori and Memori MCP Usage. Each one is a separate skill with its own page in this directory, installs the same way Memori 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 compare to other AI Engineering skills?
Memori ranks #288 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 against them. Open each page to compare what they document and how they install.