memory-garden

Write structured memory entries to tiered markdown files with timestamps and metadata.

2|Updated Apr 8, 2026

Search Tags:#automation #memory #knowledge #insight #journal #hierarchical

Ready to run

npx skills add https://github.com/DojoGenesis/gateway --skill memory-garden-dojogenesis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory-garden
Source: https://github.com/DojoGenesis/gateway/tree/main/plugins/wisdom-garden/skills/memory-garden
Command: npx skills add https://github.com/DojoGenesis/gateway --skill memory-garden-dojogenesis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill captures, structures, and stores insights, decisions, and patterns from conversations, preventing valuable knowledge from being lost.

Core Features & Use Cases

Tiered storage: Daily notes (Tier A), curated wisdom (Tier B), and monthly archives (Tier C) automatically organized in markdown files.
3‑Month rule & compression: Guides what to keep, summarize, or discard, keeping the knowledge base lean.
Use case: After a brainstorming session, ask the skill to record the key pattern as a Tier B entry, ensuring it’s searchable for future projects.

Quick Start

Ask the memory garden skill to write a Tier B curated wisdom entry about the insight you just shared.

Frequently Asked Questions about memory-garden

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

FAQPage Schema

How do I capture and structure insights from a conversation into a knowledge base?▼

Hierarchical memory storage organizes captured insights into tiered markdown files: daily notes, curated wisdom, and monthly archives. This structure ensures conversation patterns and decisions are searchable and retained without degrading into disorganized logs.

What is the best way to organize daily notes and monthly archives for knowledge retention?▼

A tiered storage system separates daily notes, curated wisdom, and monthly archives into distinct markdown files. This structure ensures conversation patterns and decisions are searchable and retained without degrading into disorganized logs.

Do I need a specific environment to automate logging journal entries into markdown files?▼

Yes, automating journal entry logging requires a context-aware LLM to extract insights and a file system to store the tiered markdown files. These components are necessary to process conversations and write structured memory entries with metadata.

How does the 3-month compression rule work for managing markdown knowledge bases?▼

The 3-month compression rule manages markdown knowledge bases by guiding what to keep, summarize, or discard. It categorizes entries into daily notes, curated wisdom, or monthly archives, ensuring the knowledge base remains lean.

Can I extract decisions and patterns from brainstorming sessions into searchable memory?▼

Yes, you can extract decisions and patterns from brainstorming sessions into searchable memory. The skill processes the conversation to record key patterns as curated wisdom entries, ensuring they are structured with metadata for future projects.

When should I use a hierarchical memory garden instead of standard note-taking?▼

Use a hierarchical memory garden instead of standard note-taking when you need to automate knowledge retention from conversations. It is applicable during conversation summarization workflows to capture insights, preventing valuable knowledge from being lost in unstructured logs.