ensue-memory

Name: ensue-memory
Availability: InStock
Author: ensue

Links conversations to a knowledge tree to preserve and retrieve context across sessions.

422|11|Updated Dec 16, 2025

Search Tags:#recall #search #memory #namespace #knowledge-base #remember

Ready to run

npx skills add https://github.com/mutable-state-inc/ensue-skill --skill ensue-memory

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ensue-memory
Source: https://github.com/mutable-state-inc/ensue-skill/tree/main/skills/ensue-memory
Command: npx skills add https://github.com/mutable-state-inc/ensue-skill --skill ensue-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill preserves context across conversations by linking dialogues to a persistent knowledge tree, enabling you to recall prior insights, decisions, and research without starting from scratch.

Core Features & Use Cases

Connect conversations to a persistent knowledge tree, so context and reasoning persist across sessions.
Support remembering, recalling, searching, and organizing information across namespaces (e.g., research/gpu-inference/).
Use Case: you finish a discussion on GPU optimization and store key findings under research/gpu-inference for easy recall in future chats.

Quick Start

Remember this: add a note about a decision to research/gpu-inference under notes/research/gpu-inference/. Then ask "what do I know about GPU inference?" to retrieve related memories.

Frequently Asked Questions about ensue-memory

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

FAQPage Schema

How do I save and recall conversation context across multiple chat sessions?▼

To preserve conversation context across sessions, you link dialogues to a persistent knowledge tree. This allows you to store prior insights and recall them in future chats without starting from scratch.

What is a persistent memory tree for organizing chat knowledge?▼

A persistent memory tree is a structured store that connects conversations to preserve context across sessions. It organizes prior knowledge using namespaces, allowing you to retrieve related memories on demand.

How do I organize stored memories by topic using namespaces?▼

You organize stored memories by assigning them to specific namespaces, such as research/gpu-inference. This namespace-based organization structures your knowledge tree and enables targeted retrieval of prior topics.

Can I retrieve specific technical notes from past discussions without context drift?▼

Yes, you can retrieve specific technical notes with minimal context drift through proactive retrieval. By asking what you know about a topic, the system pulls relevant memories stored under the matching namespace.

What is the best way to remember key decisions from a project discussion for later use?▼

The best way to remember key decisions is to explicitly store them in the persistent knowledge tree during your discussion. You assign the notes to a relevant namespace, making them easily searchable for later recall.

Do I need any special setup to start storing and recalling notes in a knowledge base?▼

No special setup is required beyond initiating the memory store. You simply start by telling the system to remember a note under a specific namespace, and it handles the storage and retrieval automatically.