ori-memory

Store and retrieve durable session memory as a Markdown knowledge graph.

Updated Mar 24, 2026

Search Tags:#markdown #integration #ai #retrieval #memory #persistence #knowledge-graph

Ready to run

npx skills add https://github.com/1thirteeng3/greenmoire --skill ori-memory-1thirteeng3

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ori-memory
Source: https://github.com/1thirteeng3/greenmoire/tree/main/integrations/Ori-Mnemos/adapters/hermes
Command: npx skills add https://github.com/1thirteeng3/greenmoire --skill ori-memory-1thirteeng3

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ori-memory, and includes scripts (resource) components.

What problem does it solve?

Durable memory and decision-history that persists across sessions and projects, enabling durable knowledge capture and retrieval as a markdown-based knowledge graph.

Core Features & Use Cases

Knowledge graph on markdown notes with learning retrieval
Persisted identity, goals, and methodology across sessions
Retrieve insights and decisions weeks or months later

Quick Start

Capture a key insight to your vault with Ori Mnemos using ori_add and promote it later with ori_promote.

Frequently Asked Questions about ori-memory

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

FAQPage Schema

How do I create persistent memory for AI workflows that retains context across sessions?▼

You can create persistent memory across sessions using a Markdown-based knowledge graph to store and retrieve durable insights, decisions, and goals for long-running AI workflows.

What is a markdown knowledge graph for AI memory retrieval?▼

A markdown knowledge graph for AI memory retrieval stores durable notes and decision histories, enabling learning retrieval to revisit insights weeks or months later across different projects.

Do I need a local Node.js environment to run a markdown memory vault?▼

Yes, a local Node.js environment is required to initialize the memory vault, install dependencies, and operate the session lifecycle through the CLI and bridge.

How do I save and promote key insights in a durable AI memory vault?▼

You can capture a key insight to your vault using the add command and promote it later using the promote command to elevate important notes within the knowledge graph.

Can I use persistent memory to track decision history and methodology for research projects?▼

Yes, persistent memory can be applied to long-running research projects and decision histories, ensuring that identity, goals, and methodology are preserved and revisited later.

What are the limitations of using markdown files for AI knowledge graph persistence?▼

Markdown-based knowledge graph persistence requires a local Node.js environment and specific CLI tools to operate, meaning it is designed for local session workflows rather than distributed cloud environments.