skills.rest
dalinkstone
dalinkstoneCOMMUNITY
Explore all skills by this author →
Website𝕏@dalinstoneGitHub

mem9

Store and retrieve long-term data across sessions using cloud memory spaces.

Updated Mar 20, 2026
Search Tags:#memory management#persistent memory#agent continuity#long-term storage#cloud memory
One-click install
npx skills add https://github.com/dalinkstone/stilltent --skill mem9-dalinkstone
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mem9
Source: https://github.com/dalinkstone/stilltent/tree/main/memory/mem9/mnemo-server/site/public
Command: npx skills add https://github.com/dalinkstone/stilltent --skill mem9-dalinkstone

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides persistent cloud memory for AI agents, enabling long-term data storage and retrieval across sessions and devices.

Core Features & Use Cases

  • Memory Persistence: Store and access long-term information, user preferences, and project context to maintain state between interactions.
  • Seamless Reconnection: Reconnect to existing memory spaces using unique space IDs, ensuring continuity across multiple machines and sessions.
  • Use Case: Imagine you want an AI assistant to remember your ongoing project details or personal preferences; this Skill securely connects and manages that persistent memory.

Quick Start

Inform the AI to set up the mem9 cloud memory by creating or reconnecting to a space ID, then import your local memories for a continuous experience.

Frequently Asked Questions about mem9

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

FAQPage Schema
How do I maintain persistent memory for AI agents across multiple sessions?▼

Persistent memory for AI agents is maintained by assigning a unique space ID and securing API keys to store and retrieve long-term data across sessions. This enables seamless continuity without data loss or reinitialization.

Can I access cloud-based long-term storage from multiple devices?▼

Cloud-based long-term storage can be accessed from multiple devices by reconnecting to an existing memory space using a unique space ID. This ensures continuity across different machines and sessions.

What's the best way to set up persistent project context for AI workflows?▼

To set up persistent project context, inform the AI to create or reconnect to a cloud memory space ID, then import your local memories. This secures API keys and handles setup for long-term data retrieval.

Do I need a unique space ID to reconnect to existing memory spaces?▼

A unique space ID is required to reconnect to existing memory spaces. Securing API keys alongside this ID ensures that AI agents can maintain state and continuity across multiple machines.

Why does my AI agent lose user preferences between interactions?▼

AI agents lose user preferences between interactions when they lack persistent cloud memory. Assigning a space ID and securing API keys enables long-term storage to maintain state and prevent data loss.

How do I import local memories into a cloud memory space?▼

To import local memories into a cloud memory space, first create or reconnect to a space ID, then execute the import process provided by the Skill. This ensures a continuous experience across sessions.

Related Skills

Explore More Content & Communication Skills→
FlowmFlowm
3

here-now

Publish static web content to live here.now URLs and store files in persistent cloud drives.

Community
Advanced
trohitgtrohitg
356

memory-skill

Store and retrieve conversation memories using a configurable SimpleMemory node.

Community
Intermediate
cristoslccristoslc

swain-session

Restore terminal tab names, preferences, and context bookmarks across AI agent sessions.

Community
Intermediate
ZhenRoboticsZhenRobotics

openclaw-memory-os

Store and retrieve personal memories and conversations locally without external API calls.

Official
Intermediate