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mnemos-setup

Deploy mnemo-server and provision a tenant for AI agent memory integration.

1.2k|119|Updated Mar 8, 2026
Search Tags:#integration#memory#setup#ai-agents#provisioning#mnemos#mnemo-server
One-click install
npx skills add https://github.com/mem9-ai/mem9 --skill mnemos-setup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mnemos-setup
Source: https://github.com/mem9-ai/mem9/tree/main/skills/mnemos-setup
Command: npx skills add https://github.com/mem9-ai/mem9 --skill mnemos-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps you set up mnemos with a running mnemo-server to provide persistent memory for AI agents across sessions and platforms.

Core Features & Use Cases

  • Deploy mnemo-server locally or on a host to provide a centralized memory store for AI agents.
  • Provision a tenant to obtain an API key or tenant ID for configuring multiple agent integrations (OpenClaw, Claude Code, OpenCode).
  • Configure agent platforms with mnemos memory integration and verify persistence across sessions and machines.

Quick Start

Install and run mnemo-server, then provision a tenant and connect your agent platform.

Frequently Asked Questions about mnemos-setup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up persistent memory for AI agents across different sessions?▼

Persistent memory for AI agents is configured by deploying and running a mnemo-server instance, provisioning a tenant via the API, and completing platform-specific integration steps for your agents.

Can I use mnemos memory integration with Claude Code and OpenCode?▼

Yes, mnemos memory integration works with Claude Code and OpenCode. You provision a tenant on your mnemo-server to obtain an API key, then apply platform-specific integration steps to enable cross-session memory.

What is mnemo-server tenant provisioning and why do I need it?▼

Tenant provisioning is the API process of obtaining an API key or tenant ID from your mnemo-server instance. You need it to authenticate and configure multiple AI agent integrations like OpenClaw and Claude Code with the memory store.

How do I deploy mnemo-server locally for AI agent memory storage?▼

You deploy mnemo-server locally by installing and running the instance to act as a centralized memory store. Once running, you provision a tenant via the API and connect your agent platform to verify cross-session persistence.

Do I need a running mnemo-server before configuring AI agent memory?▼

Yes, a running mnemo-server instance is required before configuring AI agent memory. It provides the centralized memory store, and you must provision a tenant via its API before applying platform-specific integration steps.

How do I verify cross-session memory persistence for AI agents?▼

You verify cross-session memory persistence by configuring your agent platform with the provisioned mnemos API key, then testing the agent across different sessions or machines to confirm the centralized memory store works.

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