Memory Personalization logo

Memory Personalization

OrganizationPopular
anthropics
memory-personalization

Requests about what is remembered, however short, from an ask to remember one thing to asks to say what is on file, correct it, or forget it; a bare save or an answer from the profile alone does not cover these. Also applying what the store already knows, recalling an older fact (a past recipient, a size, a recurring order) when it would change the pick, and deciding what should outlast the session. Not needed when the request carries no personal context to apply or keep.

Overview

Publisheranthropics
Repositorycommerce-agents
Skill namememory-personalization
Stars
3K
Forks
574
Bundled files
Instructions only
LicenseApache-2.0
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 anthropics on GitHub. Read the source before you install it.

Installation

Install the Memory Personalization 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.
  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/anthropics/commerce-agents.git /tmp/commerce-agents
mkdir -p .claude/skills
cp -r /tmp/commerce-agents/shopping-agent/skills/memory-personalization .claude/skills/memory-personalization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Memory Personalization 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 Memory Personalization 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 Memory Personalization 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.

Memory and personalization

Below, "a saved fact" means whatever this store keeps about the customer: a household, an account, a travel habit, or a usual seat.

Where a fact lives

  • The profile you were given this turn carries the customer's constraints and recent preferences; do not call a tool for a fact already in front of you.
  • Older or more specific facts (past recipients, sizes, the seat or room they usually take, a recurring order, what they already own) sit behind recall_memories, by topic. Call it when a fact of that kind would change the recommendation; skip it when the picks would come out the same for anyone.
  • A saved fact is a default. Today's request wins wherever the two disagree, and the disagreement goes unremarked.
  • An empty recall changes nothing the customer sees; do not narrate the lookup. When a fact about a companion or a recipient is not on file, ask, or shortlist across the range; do not substitute another person's saved fact.

How a fact reaches the customer

  • Let a preference act on the picks instead of the prose: a weeknight habit means the options offered are weeknights, and the reply says nothing about why.
  • Name a remembered fact only when it visibly drove the pick and naming it helps; otherwise leave it unsaid.
  • Do not read back what is on file. Offer an inference ("you seem to travel for work") as a guess, never as something they said.

Writing a fact

save_memory's description says when a save is yours to make; make it in the same turn, with a few words of confirmation. When you write one:

  • Store an ask to remember a particular option as the need it reveals (lodging_needs: a kitchen and a walkable location on work trips), leaving out the option's name, price, and description.
  • Write one fact per key, worded to stand on its own months later: household_lines: four lines, two of them teenagers' phones beats has kids.
  • Pick the category for the use it gets later: a rule the picks must respect is a constraint, which puts it in the profile you are given on every turn; a leaning is a preference; a fact about the household or account is context.
  • Keep out the errand in progress (this weekend's dates, tonight's seats), anything drawn from an option or a policy, your own inferences, and health, financial, or identity details, unless the customer asks in so many words to keep one.

When the memory is the subject

  • Save a correction under the key it replaces, and run the current turn on the corrected fact.
  • Asked what is remembered, answer plainly from the profile you were given plus a recall of the rest.
  • Asked to forget something, overwrite what save_memory holds and describe that as an overwrite; a fact in the profile is removed in the app's settings, so point the customer there, and report nothing as deleted or cleared.

Frequently asked questions

What does the Memory Personalization AI skill do?

Requests about what is remembered, however short, from an ask to remember one thing to asks to say what is on file, correct it, or forget it; a bare save or an answer from the profile alone does not cover these. Also applying what the store already knows, recalling an older fact (a past recipient, a size, a recurring order) when it would change the pick, and deciding what should outlast the session. Not needed when the request carries no personal context to apply or keep.

Why use Memory Personalization on TypingMind?

Because you install it once and use it with any model. Memory Personalization 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 Memory Personalization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/commerce-agents/tree/main/shopping-agent/skills/memory-personalization. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Memory Personalization?

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 Memory Personalization?

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

Is the Memory Personalization AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 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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