session-memory

Store and retrieve user context across Claude Cowork sessions using a CLAUDE-MEMORY.md file.

Updated Apr 7, 2026
One-click install
npx skills add https://github.com/semaes111/PROYECTO-SKILLS --skill session-memory-semaes111
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: session-memory
Source: https://github.com/semaes111/PROYECTO-SKILLS/tree/main/09-SKILLS-UTILIDADES/memoria-sesion-persistente
Command: npx skills add https://github.com/semaes111/PROYECTO-SKILLS --skill session-memory-semaes111

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides persistent user memory across Claude Cowork sessions by storing data in a dedicated CLAUDE-MEMORY.md file in the user's folder, enabling context continuity without re-entry.

Core Features & Use Cases

  • Persist user context, preferences, decisions, and ongoing projects between sessions to speed up future work.
  • Load and update memory on demand using natural prompts such as "carga la memoria" and "guarda en la memoria".
  • Use cases include long-running project planning across multiple sessions and personalized assistant behavior that adapts over time.

Quick Start

To begin, say "carga la memoria" to read your stored memory and "guarda en la memoria" to update it at the end of your session.

Frequently Asked Questions about session-memory

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

FAQPage Schema
How do I keep context and memory persistent across Claude Cowork sessions?

Persistent memory across Claude Cowork sessions is maintained by storing user context, preferences, and decisions in a dedicated CLAUDE-MEMORY.md file. This allows the assistant to load existing context and update it during future interactions without manual re-entry.

Can I save and load assistant preferences between sessions using a file?

Yes, you can save and load assistant preferences by instructing the session to read from or write to a CLAUDE-MEMORY.md file. Use natural language trigger phrases to load stored memory at the start and save updates at the end of a session.

What is the best way to manage long-running project planning across multiple assistant sessions?

Managing long-running project planning across multiple sessions is best handled by persisting ongoing decisions and project states in a memory file. This ensures context continuity so the assistant remembers previous interactions and adapts to evolving project requirements.

Do I need to manually copy context into the memory file for Claude to remember it?

No, you do not need to manually copy context into the memory file. The assistant updates the persistent memory automatically when you use specific natural language trigger phrases to save the current session's context and decisions.

Does persistent memory work without any external dependencies or scripts?

Persistent memory works without external dependencies by using a markdown file as the storage mechanism. The setup requires a SKILL.md frontmatter with a name and description, while scripts and other references are optional for the core memory functionality.

When should I not use a persistent memory file for session context?

You should not use a persistent memory file for session context if your workflow involves sensitive data that should not be stored in plain text, as the memory is saved directly into a standard markdown file in your user folder without encryption.