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mnemos-setup

Configure mnemos persistent memory for OpenClaw, OpenCode, and Claude Code agents.

Updated Mar 20, 2026
Search Tags:#ai agents#configuration#persistent memory#mnemos#mnemo-server#memory setup
One-click install
npx skills add https://github.com/dalinkstone/stilltent --skill mnemos-setup-dalinkstone
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mnemos-setup
Source: https://github.com/dalinkstone/stilltent/tree/main/memory/mem9/mnemo-server/skills/mnemos-setup
Command: npx skills add https://github.com/dalinkstone/stilltent --skill mnemos-setup-dalinkstone

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill facilitates setting up mnemos persistent memory with AI agent platforms, ensuring seamless memory integration.

Core Features & Use Cases

  • Memory Setup: Guides users through deploying a mnemo-server instance and provisioning tenants.
  • Platform Integration: Provides configuration instructions for OpenClaw, OpenCode, and Claude Code.
  • Use Case: Enable AI agents to recall project details, code snippets, or instructions across sessions to improve continuity and context-awareness.

Quick Start

Follow the instructions to deploy a mnemo-server, create a tenant, and configure your agent platform accordingly to enable persistent memory.

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?▼

To set up persistent memory for AI agents, you deploy a mnemo-server instance, provision a tenant, and configure your agent platform to ensure safe, authenticated communication for reliable knowledge retention across sessions.

Can I configure mnemo-server memory with Claude Code or OpenCode?▼

Yes, you can configure mnemo-server memory with Claude Code and OpenCode. The setup provides specific integration instructions for these platforms, alongside OpenClaw, enabling memory-based interactions in AI workflows.

What is mnemo-server used for in AI workflows?▼

Mnemo-server is used in AI workflows to facilitate persistent memory, enabling AI agents to safely recall project details, code snippets, or instructions across sessions to improve continuity and context-awareness.

How do I deploy a mnemo-server instance for my AI agent?▼

To deploy a mnemo-server instance for your AI agent, follow the guided setup procedure to provision tenants and establish authenticated communication, which facilitates reliable memory-based interactions and knowledge retention.

Does persistent memory setup require authenticated communication with mnemo-server?▼

Yes, persistent memory setup requires authenticated communication with mnemo-server. This ensures safe interactions and reliable knowledge retention when AI agents access memory-based data across different sessions.

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