supermemory

Save facts, decisions, and preferences into a knowledge graph via supermemory.ai API.

45|50|Updated Jan 24, 2026

Search Tags:#context #knowledge graph #ai #memory #persistence #user profile

Ready to run

npx skills add https://github.com/zocomputer/skills --skill supermemory

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: supermemory
Source: https://github.com/zocomputer/skills/tree/main/Community/supermemory
Command: npx skills add https://github.com/zocomputer/skills --skill supermemory

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides long-term memory for AI, allowing it to recall and build upon past interactions, decisions, and user preferences over time.

Core Features & Use Cases

Persistent Knowledge Graph: Stores facts, decisions, and preferences in a structured knowledge graph.
Dynamic User Profile: Builds a living profile of the user that grows and self-corrects.
Contextual Recall: Enables the AI to access relevant past information during conversations.
Use Case: An AI assistant can remember a user's preference for dark mode, their preferred communication style, or past project decisions, leading to more personalized and efficient interactions.

Quick Start

Use the supermemory skill to save the fact that the user prefers dark mode.

Frequently Asked Questions about supermemory

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

FAQPage Schema

How do I add persistent memory to an AI conversation so it remembers past interactions?▼

Persistent memory for AI conversations is achieved by saving facts, decisions, and preferences into a knowledge graph. This enables the AI to recall relevant past information during future interactions for contextual recall.

How does a dynamic user profile work with AI memory persistence?▼

A dynamic user profile builds a living representation of the user that grows and self-corrects over time. It stores user preferences in a knowledge graph, allowing the AI to access relevant past information during conversations.

Do I need an API key to save context to a persistent AI memory knowledge graph?▼

Yes, an API key is required to facilitate API interactions with supermemory.ai. You also need specific Python scripts for managing memory operations to save and recall context.

What is the best way to store user preferences for long-term AI recall?▼

The best way to store user preferences for long-term AI recall is using a persistent knowledge graph. This approach structures facts and decisions so an AI assistant can remember details like a preference for dark mode.

Can I use Python scripts to manage AI memory operations and contextual recall?▼

Yes, specific Python scripts are used for managing memory operations with supermemory.ai. These scripts handle the API interactions required to save context and retrieve past information for the AI.

When do I need persistent memory for my AI assistant instead of standard context windows?▼

You need persistent memory when your AI assistant must recall past project decisions or user preferences across multiple separate conversations. Standard context windows are temporary, whereas a knowledge graph enables true long-term memory persistence.