Update Profile Memory

Community

ahmadrosid

update-profile-memory

Record facts, preferences, and personal context in active MEMORY.md for cross-session continuity. Use when the user shares something to remember, states a preference, or you learn durable context about them.

Overview

Publisher	ahmadrosid
Repository	`nakama`
Skill name	`update-profile-memory`
Stars	492
Forks	91
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 ahmadrosid on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ahmadrosid/nakama/tree/main/packages/core/src/skills/bundled/update-profile-memory
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ahmadrosid/nakama/tree/main/packages/core/src/skills/bundled/update-profile-memory

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/ahmadrosid/nakama.git /tmp/nakama
mkdir -p .claude/skills
cp -r /tmp/nakama/packages/core/src/skills/bundled/update-profile-memory .claude/skills/update-profile-memory

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Update Profile Memory 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 Update Profile Memory 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 Update Profile Memory 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.

Use this skill to add facts to active MEMORY.md.

Use profile skills for repeatable procedures — not for one-off facts.
Use knowledge_base_search for uploaded documents — do not dump reference content into MEMORY.md.
Use the archive-profile-memory skill when MEMORY.md is full or the user wants facts removed without deleting them.

MEMORY.md shape

Active memory is MEMORY.md in the profile workspace:

markdown
# Memory Log

---

Facts are bullets under dated sections: ## YYYY-MM-DD followed by - bullet text.

Use the user's timezone from the system prompt when choosing today's date header.

Copy existing text verbatim from read_file output when editing. Do not paraphrase.

Size limit

MEMORY.md must stay at or below 4096 bytes. Before writing, estimate the final file size. If a write would exceed the limit, follow archive-profile-memory to free space, then retry.

Workflow

Choose the fact to record as a single concise bullet (no leading - in your mental draft — add it in the file).
read_file MEMORY.md.
If the file does not exist, write_file with the template above, a blank line, today's ## YYYY-MM-DD header, and the new - bullet.
If today's ## YYYY-MM-DD section exists, edit_file to append - bullet at the end of that section (before the next ## header or end of file).
If today's section does not exist, edit_file to append a blank line, today's ## YYYY-MM-DD header, a blank line, and - bullet at the end of the file.
Re-read MEMORY.md and confirm the bullet is present and the file is at or below 4096 bytes.

When edit_file reports a missing, duplicate, or overlapping match, read_file again and issue a corrected edit with exact text.

Examples

Good memory bullets:

User prefers concise answers.
Works in Jakarta (UTC+7).
Primary language for docs is English.

Not memory — use skills or KB instead:

Step-by-step deploy procedure.
Full text of an uploaded PDF.

Frequently asked questions

What does the Update Profile Memory AI skill do?

Why use Update Profile Memory on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ahmadrosid/nakama/tree/main/packages/core/src/skills/bundled/update-profile-memory. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Update Profile Memory?

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 Update Profile Memory?

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

Is the Update Profile Memory AI skill free?

Yes. It is published on GitHub by ahmadrosid 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MEMORY.md shape

Size limit

Workflow

Examples

Frequently asked questions

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