MelodyTung888

MelodyTung888 / memory-layers-skill

Public

比Hermes Agent更优的五层记忆法 — AI记忆与智慧升华系统，自动沉淀、跨记忆搜索、周期性提醒、技能自生成

github.comMelodyTung888memory-layers-skill
32
3
100% credibility
Found Apr 19, 2026 at 32 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

An AI-powered personal memory system that organizes experiences into five progressive layers of wisdom, from raw events to core identity.

How It Works

1
📰 Discover the Wisdom Builder

You learn about a helpful AI tool that turns everyday experiences into deeper life lessons and personal principles.

2
🤖 Wake Up Your AI Helper

You chat with your AI friend (like Claude) and ask it to start using this memory wisdom skill.

3
📁 Pick Your Memory Spot

The AI asks you to name a simple folder on your computer where it will safely store all your growing wisdom.

4
✍️ Share Your Story

You tell the AI about something that happened, like a work challenge, and say 'distill' to begin the magic.

5
🔄 See Layers Form

The AI quietly sorts your story into event, lesson, pattern, principle, and even who you are becoming – all saved automatically.

6
🔍 Find Old Wisdom

Anytime, ask the AI to search your memories or get gentle reminders to review and update them.

🌟 Wisdom That Grows

Your life experiences now build into a personal guidebook of smart rules and insights that stick with you forever.

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AI-Generated Review

What is memory-layers-skill?

This Shell script pack builds a five-layer memory system for AI chats like Claude, distilling raw events into experiences, patterns, principles, and identity. You trigger it with phrases like "distill" or "record-event" to auto-save wisdom to a personal vault folder, with full-text search across layers, periodic reminders to review memories, and auto-generated skills from repeated patterns. It turns scattered notes into searchable, evolving knowledge—zero config beyond picking a vault path.

Why is it gaining traction?

Unlike Hermes Agent on GitHub—which needs manual triggers for memory storage and skills—this runs fully automatic, judging and distilling content silently while compiling experiences into actionable principles. Devs digging Hermes Agent Reddit threads or Hermes Agent vs OpenClaw debates like its cross-session search and skill auto-gen over Hermes Agent Docker or Ollama setups. The FTS-powered search and reminders hook users tired of flat memory tools like Hermes GitHub AI proxies.

Who should use this?

AI agent builders extending Hermes Agent skills or Hermes-link GitHub projects with layered memory. Solo devs running Claude for project retrospectives, extracting principles from failures. Knowledge managers in small teams replacing basic Hermes Agent WebUI logging with automated wisdom pipelines.

Verdict

Early maturity at 32 stars and 1.0% credibility score means light testing—pair it with Hermes Agent docs for stability. Worth a quick vault setup if memory layers beat your Hermes setup; otherwise, wait for more traction.

(178 words)

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