memcode

Maintain a shared persistent memory layer for AI coding agents.

618|48|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/AVIDS2/memorix --skill memcode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memcode
Source: https://github.com/AVIDS2/memorix/tree/main/packages/memcode/test/fixtures/skills/no-frontmatter
Command: npx skills add https://github.com/AVIDS2/memorix --skill memcode

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Memorix addresses the issue of project knowledge loss between different AI coding agent sessions, IDE switches, and terminal sessions.

Core Features & Use Cases

  • Shared Project Memory: Sustains a searchable project memory that spans across various agent sessions and tools.
  • Cross-Agent Consistency: Ensures that knowledge and decisions made in one session are accessible to others, like Claude Code, Codex, and Cursor.
  • Use Case: When transitioning from one agent to another or between different environments (IDEs, terminals), Memorix retains the project context and information.

Quick Start

Load the Memorix skill and provide it with the project context to ensure seamless information retention across different AI coding agent sessions.

Frequently Asked Questions about memcode

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

FAQPage Schema
How do I retain project context across different AI coding agents?

To share project memory across AI coding agents, load the skill into your environment and provide it with your project context. It sustains a searchable memory layer accessible across different agent sessions and tools.

Can I use a shared memory layer with Claude Code and Cursor?

Yes, you can use shared memory with Claude Code, Codex, and Cursor. The skill maintains cross-agent consistency so that knowledge and decisions made in one session are accessible to others.

Do I need a Git-based project structure for AI agent memory retention?

Yes, a Git-based project structure is required. The memory layer relies on Git integration and MCP compatibility to maintain project continuity and facilitate knowledge retention across sessions.

What is shared project memory for AI coding agents?

Shared project memory is a persistent, searchable knowledge layer that prevents project knowledge loss between sessions. It spans across various agent sessions, IDE switches, and terminal environments.

Why does my AI coding agent lose context when switching IDEs?

AI coding agents lose context when switching IDEs because they lack persistent shared memory. Loading a shared memory skill retains project context and information across different environments and sessions.