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Agent Memory Method

Community
hezkvectory
agent-memory-method

把需要背的内容变成可提取、可复述、可间隔复习的记忆任务,而不是反复机械朗读。 Workflow: agent_memory_method.run.

Overview

Publisherhezkvectory
Repositoryhermes-edu-skills
Skill nameagent-memory-method
Stars
127
Forks
58
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by hezkvectory on GitHub. Read the source before you install it.

Installation

Install the Agent Memory Method AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-memory-method
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills.git /tmp/hermes-edu-skills
mkdir -p .claude/skills
cp -r /tmp/hermes-edu-skills/skills/learning-core/agent-memory-method .claude/skills/agent-memory-method
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Memory Method in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Memory Method on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Memory Method is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

记忆方法 Skill

把需要背的内容变成可提取、可复述、可间隔复习的记忆任务,而不是反复机械朗读。

这个 Skill 解决什么问题 / Problem

把需要背的内容变成可提取、可复述、可间隔复习的记忆任务,而不是反复机械朗读。

最适合 / Best For

  • 古诗课文背诵
  • 英语单词
  • 公式概念
  • 历史地理知识点

不适合 / Not For

  • 超大量内容一次性硬背
  • 完全不理解内容就要求长期记住

使用前请准备 / Inputs

  • 要记忆的文本/词表/知识点
  • 年级
  • 截止时间
  • 已掌握程度
  • 容易忘的部分

推荐工作流 / Recommended Workflow

  • 压缩成记忆块
  • 设计提取线索
  • 安排首次背诵和回想
  • 生成间隔复习表
  • 用小测检查能否独立提取

输出格式 / Output Format

  • 记忆块
  • 提取问题
  • 背诵步骤
  • 间隔复习安排
  • 自测题

质量检查 / Quality Checks

  • 必须包含主动回忆
  • 复习间隔要明确
  • 不能只给口诀
  • 要区分理解和记忆

没有平台工具时 / Standalone Fallback

  • 没有记忆工具时,输出可复制的复习卡片。
  • 没有历史记录时,从当前材料生成首轮计划。

示例提示 / Example Prompts

  • 帮我把这首古诗拆成今晚能背下来的步骤。
  • 这些英语单词容易混,帮我做记忆卡和复习计划。

适用场景 / When To Use

当学习者、家长、老师、学校或教育应用开发者需要处理以下场景时,可以使用这个 Skill。

最适合的场景:

  • 背诵记忆

适用角色:

  • 学习者
  • 家长
  • 老师

调用信号 / Invocation Signals

意图:

  • agent_memory_method
  • learning_core
  • 背诵记忆

示例表达:

  • 开始记忆方法 Skill
  • 帮我做背诵记忆
  • 根据当前上下文执行记忆方法 Skill

公开 Skill 契约 / Public Skill Contract

  • Workflow: agent_memory_method.run
  • Category: learning-core
  • Stages: primary, junior, senior
  • Subjects: 学习能力
  • Abilities: 记忆
  • Quality Tier: curated
  • Standalone Support: needs_user_input
  • Public Release: recommended
  • Requires Tools: context.load, entitlement.check, workflow.create, memory.write
  • Requires Data: 学习目标, 年级或水平, 用户输入的题目/记录/上下文
  • Export Mode: installable
  • Release Channel: recommended

成熟度备注:

  • 已按精品 Skill 标准补充边界、输入、工作流、输出格式和示例。

参数化使用 / Parameters

这个 Skill 不再把年级、册别、单元、知识点和难度拆成大量独立 Skill。请在调用时通过参数或自然语言补充这些信息。

  • Grades: 一年级, 二年级, 三年级, 四年级, 五年级, 六年级, 七年级, 八年级, 九年级, 高一, 高二, 高三
  • Semesters: 上册, 下册, 上册, 下册, 必修一, 必修二, 选择性必修
  • Scenarios: 背诵记忆
  • Difficulties: 基础, 标准, 提高
  • Parameterized Dimensions: grade, semester, unit, lesson, knowledgePointCodes, scenario, difficulty

独立 Hermes 使用方式 / Standalone Hermes Usage

这个 Skill 可以通过 Hermes 的 skills.external_dirs 作为外部 Skill 加载。

如果你有自己的工具、记忆、课程数据或 workflow runner,可以把它们与本 Skill 组合使用。如果没有外部工具,也可以直接使用上面的说明来引导对话,生成有用的学习或教学反馈。

Frequently asked questions

What does the Agent Memory Method AI skill do?

把需要背的内容变成可提取、可复述、可间隔复习的记忆任务,而不是反复机械朗读。 Workflow: agent_memory_method.run.

Why use Agent Memory Method on TypingMind?

Because you install it once and use it with any model. Agent Memory Method is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Memory Method in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-memory-method. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Memory Method?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Memory Method?

As many as you like. As long as a model supports skills, you can use Agent Memory Method with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Memory Method AI skill free?

Yes. It is published on GitHub by hezkvectory under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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