How does the AI recall information across sessions?

Once configured, the agent stores key information in the mnemo-server. When you start a new session, the agent can query that server to retrieve relevant context from previous conversations.

What is the difference between the API Key and Tenant ID?

In newer versions (v1alpha2), the API Key is the preferred configuration value, though legacy setups may still refer to it as a Tenant ID; the underlying UUID remains the same.

What is mnemos-setup?

It is a specialized Claude Code Skill designed to help users install and configure the mnemos persistent memory plugin for various AI agent platforms.

Do I need a separate server for this?

Yes, this skill requires a running mnemo-server instance (available via the mem9 repository) to act as the backend storage for your AI's memory.

Which platforms does this skill support?

It supports major agent platforms including Claude Code, OpenClaw, and OpenCode.

Mnemos Persistent Memory Setup

Name: Mnemos Persistent Memory Setup
Author: mem9-ai

bymem9-ai

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1,068

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開発者ツール

Configures mnemos persistent memory to give AI agents long-term recall capabilities across multiple sessions.

Mnemos Persistent Memory Setup provides a specialized skill for integrating the mnemos memory server with popular AI agent platforms like OpenClaw, OpenCode, and Claude Code. By enabling this skill, developers can provision tenants and configure API settings that allow their AI coding assistants to store and retrieve contextually relevant information over time, effectively overcoming context window limitations and ensuring consistent project knowledge throughout the development lifecycle.

主な機能

01Automated tenant provisioning and API key management

02Simplified environment variable and JSON configuration setup

03Multi-platform support for OpenClaw, OpenCode, and Claude Code

04Seamless integration with mnemo-server REST API

05Persistent cross-session knowledge storage for AI agents

061,068 GitHub stars

ユースケース

01Reducing repeated prompting by teaching the agent once about local environment setups

02Syncing context between different AI agent interfaces like OpenClaw and Claude Code

03Retaining project-specific architectural decisions across different coding sessions

主な機能

01Automated tenant provisioning and API key management

02Simplified environment variable and JSON configuration setup

03Multi-platform support for OpenClaw, OpenCode, and Claude Code

04Seamless integration with mnemo-server REST API

05Persistent cross-session knowledge storage for AI agents

061,068 GitHub stars

ユースケース

01Reducing repeated prompting by teaching the agent once about local environment setups

02Syncing context between different AI agent interfaces like OpenClaw and Claude Code

03Retaining project-specific architectural decisions across different coding sessions