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TylerGarlick
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mnemosyne

Save, restore, list, archive, export, and link conversation sessions across Claude Code invocations.

4|2|Updated Dec 31, 2025
Search Tags:#session management#memory#conversation history#persistence#archiving#artifact linking
One-click install
npx skills add https://github.com/TylerGarlick/abraxas --skill mnemosyne
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mnemosyne
Source: https://github.com/TylerGarlick/abraxas/tree/main/skills/mnemosyne
Command: npx skills add https://github.com/TylerGarlick/abraxas --skill mnemosyne

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the problem of ephemeral AI conversations by providing a persistent memory layer, allowing you to save, restore, and link your interactions across different sessions.

Core Features & Use Cases

  • Session Persistence: Save your current conversation to disk so you can close Claude Code and resume exactly where you left off later.
  • Cross-Session Linking: Automatically link related artifacts (like Janus ledgers or Logos analyses) across different saved sessions, creating a connected history of your work.
  • Use Case: You're conducting a multi-day research project. Save your progress each day using /mnemosyne save, and then restore the latest session the next morning with /mnemosyne restore last to continue your work seamlessly.

Quick Start

Save the current conversation with a descriptive name and description.

Frequently Asked Questions about mnemosyne

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

FAQPage Schema
How do I save and restore conversation history in Claude Code across sessions?▼

To save conversation history, use the session persistence commands to write your current interaction to disk, then restore it in a later Claude Code invocation to resume exactly where you left off.

Can I link artifacts from different saved AI conversation sessions?▼

Yes, you can link artifacts across different saved sessions. The system automatically integrates with other skills to create a connected history, linking related artifacts like ledgers or analyses between your saved conversation sessions.

What is the best way to manage persistent memory for multi-day AI research projects?▼

The best way to manage persistent memory for multi-day projects is to save your conversation session with a descriptive name each day, and then restore the latest session the next morning to continue your work seamlessly.

Does this session management tool require any external dependencies to archive conversations?▼

No, this session management tool does not require any external dependencies to archive conversations. It operates independently to save, list, archive, and export your conversation history directly to disk.

How do I export and archive past AI conversation sessions for long-term storage?▼

You can export and archive past AI conversation sessions by using the built-in archiving commands. This moves your saved conversation history into long-term storage while keeping it available for future retrieval and cross-session linking.

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