mempalace

Name: mempalace
Availability: InStock
Author: roberttmadsen13-del

Store verbatim conversations and a temporal knowledge graph locally with MemPalace.

Updated Apr 28, 2026

Search Tags:#on-device #knowledge-graph #semantic-search #memory-management #local-memory #mempalace

Ready to run

npx skills add https://github.com/roberttmadsen13-del/TOURney --skill mempalace-roberttmadsen13-del

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mempalace
Source: https://github.com/roberttmadsen13-del/TOURney/tree/main/SKILLS/mempalace-develop/integrations/openclaw
Command: npx skills add https://github.com/roberttmadsen13-del/TOURney --skill mempalace-roberttmadsen13-del

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MemPalace provides a local-first memory system that stores verbatim conversations and a temporal knowledge graph entirely on-device, avoiding cloud dependencies and API keys.

Core Features & Use Cases

Local, on-device memory palace organized into Wings, Halls, Rooms, and Drawers for precise recall.
Semantic search across memories and a temporal knowledge graph to surface relevant past interactions.
Privacy-first workflow: zero cloud, zero external API calls, with structured diary and knowledge graph updates.

Quick Start

Initialize MemPalace on my device and load the local palace from the default path.

Frequently Asked Questions about mempalace

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

FAQPage Schema

How do I store conversation history locally for semantic search without cloud dependencies?▼

Local semantic search of conversation history is achieved by storing verbatim conversations and a temporal knowledge graph entirely on-device. This avoids cloud dependencies and external API calls while providing structured recall.

Does on-device memory management work on Linux and Windows?▼

On-device memory management works on Linux, Windows, and Darwin. The setup requires installing the MemPalace package and Python 3 to operate locally on any of these operating systems.

How do I structure local memory recall using a knowledge graph?▼

Structure local memory recall by organizing a temporal knowledge graph into Wings, Halls, Rooms, and Drawers. This hierarchy provides precise context-rich recall across stored verbatim conversations.

What is the best way to keep a private local diary of interactions without external API calls?▼

A private local diary of interactions uses a local-first memory system that makes zero external API calls. It updates a structured diary and knowledge graph on-device, ensuring privacy-first workflow without cloud connectivity.

Do I need Python 3 to run local memory palace storage?▼

Python 3 is required to run local memory palace storage. The setup uses the MemPalace package for local operation, enabling on-device semantic search without requiring any external API keys.

Why use on-device memory management instead of cloud-based knowledge graphs?▼

On-device memory management provides a privacy-first workflow by avoiding cloud dependencies entirely. It stores verbatim conversations and a temporal knowledge graph locally, ensuring data remains on your device without external API calls.