memory-store

Store user-specified information to the ourmem API with tags for later retrieval.

Updated Apr 20, 2026
One-click install
npx skills add https://github.com/Toperythroblast876/omem --skill memory-store-toperythroblast876
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-store
Source: https://github.com/Toperythroblast876/omem/tree/main/plugins/claude-code/skills/memory-store
Command: npx skills add https://github.com/Toperythroblast876/omem --skill memory-store-toperythroblast876

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the common issue of AI agents forgetting important user-specified information like names, tasks, notes, and preferences between sessions, ensuring critical context is retained for future interactions.

Core Features & Use Cases

  • Persistent Memory Storage: Saves user-requested content to the ourmem shared memory store with relevant tags for easy later retrieval.
  • Cross-Session Context Retention: Integrates with Claude Code to let agents access saved memories across different sessions and connected tools.
  • Use Case: If a user tells their agent to remember their team's Q4 project goals and preferred communication style, this Skill stores that information so the agent can reference it in all future related tasks without the user repeating the details.

Quick Start

Use the memory-store skill to save the note that your team's Q4 project goal is to launch the new mobile app feature by November 1st.

Frequently Asked Questions about memory-store

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

FAQPage Schema
How do I retain persistent memory for Claude Code across different sessions?

Persistent memory for Claude Code is retained by saving user-specified information to a shared memory layer using the ourmem API. This prevents AI agents from losing critical context, preferences, and project details between different sessions.

What is the best way to store agent context like project goals for later retrieval?

The best way to store agent context is to save the specific notes or project goals to a persistent shared memory store with relevant tags. This captures team knowledge and task details for easy later retrieval by connected tools.

Does Claude Code work with cross-session recall for user preferences and notes?

Yes, Claude Code works with cross-session recall by integrating with the ourmem API to save tagged content. This allows the agent to access stored user preferences and notes in all future related tasks without repeating the details.

How do I save team knowledge to a shared memory store for my AI agent?

To save team knowledge, instruct your agent to store the specific information in the persistent shared memory layer. The skill automatically tags the content and saves it via the ourmem API for future cross-session access.

Can I use this memory storage approach for capturing task notes in Claude Code?

Yes, you can use this memory storage approach for capturing task notes in Claude Code. It stores your requested content in a shared memory layer, ensuring your agent retains the notes for future interactions and connected tools.