mem0

Store and retrieve user-specific context across AI application sessions.

1|Updated Jun 23, 2026
One-click install
npx skills add https://github.com/YOYOMAII/foundry --skill mem0-yoyomaii
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mem0
Source: https://github.com/YOYOMAII/foundry/tree/main/.agents/skills/mem0
Command: npx skills add https://github.com/YOYOMAII/foundry --skill mem0-yoyomaii

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mem0ai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the lack of long-term context in AI applications by providing a managed memory layer that stores, retrieves, and manages user preferences and interaction history across sessions.

Core Features & Use Cases

  • Persistent Context: Automatically remembers user preferences, habits, and past interactions to personalize future AI responses.
  • Multi-Layered Scoping: Supports memory isolation across users, agents, applications, and specific sessions.
  • Use Case: Build a travel assistant that remembers a user's dietary restrictions and preferred airline across different devices and conversation threads without manual input.

Quick Start

Ask the AI to set up mem0 in your current project to enable persistent memory for your chatbot.

Frequently Asked Questions about mem0

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

FAQPage Schema
Does persistent memory work with both Python and TypeScript AI applications?

Persistent memory functionality supports both Python and TypeScript AI applications, utilizing the mem0ai SDK to facilitate long-term context management and personalized interactions for various development environments.

How do I add persistent memory to my AI chatbot for personalized context across sessions?

Persistent memory is added by integrating a managed memory layer that stores and retrieves user-specific context across sessions, allowing AI chatbots to remember user preferences and interaction history without manual input.

Can I scope AI memory isolation to specific users and agents in my application?

Memory isolation supports multi-layered scoping across users, agents, applications, and specific sessions, ensuring that personalized interactions remain distinct and securely separated within your AI workflows.

Do I need an API key to use vector search for semantic memory storage?

An API key is required to interface with the Mem0 platform for semantic memory storage and retrieval, as the Skill depends on the mem0ai SDK to manage long-term knowledge for AI applications.

What's the best way to build a travel assistant that remembers user preferences across different devices?

Build a travel assistant by leveraging a managed memory layer to automatically store and retrieve user-specific context like dietary restrictions and preferred airlines across different devices and conversation threads.

Does persistent memory work with both Python and TypeScript AI applications?

Persistent memory functionality supports both Python and TypeScript AI applications, utilizing the mem0ai SDK to facilitate long-term context management and personalized interactions for various development environments.