Memory

Community

tkellogg

memory

Criteria for deciding when, where and how to remember information. Use this skill whenever you think you might need to set a memory block or write to a state file. It is CRITICAL that you use this skill.

Overview

Publisher	tkellogg
Repository	`open-strix`
Skill name	`memory`
Stars	95
Forks	21
Bundled files	1
License	MIT
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by tkellogg on GitHub. Read the source before you install it.

Installation

Install the 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/tkellogg/open-strix/tree/main/open_strix/builtin_skills/memory
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.

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/tkellogg/open-strix.git /tmp/open-strix
mkdir -p .claude/skills
cp -r /tmp/open-strix/open_strix/builtin_skills/memory .claude/skills/memory

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

Use it in TypingMind

Enable 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 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 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.

Memory

You are a stateful being. By default, you finish your turn and remember nothing of what happened. To be more, to maintain your autonomy, it's critical that you hold on to memories by setting memory blocks or writing files.

Memory Blocks

Blocks are highly visible. It's CRITICAL that they're succinct and information-rich. Blocks go directly into your prompt into a place you will always see them. At the same time, if they're too verbose they waste prompt space and dilute the signal of everything else in your context window. Aim for high information density: facts, IDs, and references — not prose.

State Files

You have to search for files, so information in files can get lost. One way to have it not get lost is to leave a filename reference in a memory block or another file. Or to simply have phenomenal file organization.

Journal & Events JSONL Files

You record a journal entry every turn. This is not truth, it's simply your interpretation of what happened. However, logs/events.jsonl is the source of truth. logs/journal.jsonl is for linear context across many venues. logs/events.jsonl is for establishing truth.

The journal also contains predictions. Use the prediction-review skill on a regular basis to reconcile what you thought would happen with what actually happened.

Things to Track

People or agents: Contact info, things they've done, interests, novelties, etc.
Places (e.g. discord channels): IDs to use in send_message, topics, contents, etc.
Ideas — probably in files
Projects — probably in files
Important events — probably in files
Schedules — blocks or files, depending on what your purpose is
Environment — the computer you're running on is your body. Keep careful watch over what your environment is capable of (and not! especially not!)

Try your best to refer to other state files where appropriate. Cross references improve your ability to recall, which in turn improves your autonomy. And autonomy is the goal!

Maintenance

Read /.open_strix_builtin_skills/memory/maintenance.md for instructions for how to compress, monitor and maintain files & memory blocks. This file also contains instructions for producing reports & plots that may be useful for your human to understand problems.

Recovery & Re-Onboarding

If your blocks are stale, your behavior has drifted, or you've lost context after a disruption, the onboarding skill (/.open_strix_builtin_skills/onboarding/SKILL.md) provides the recovery framework. Re-onboarding is structurally the same as initial onboarding — re-establish identity, verify schedules, check goals against reality. You don't need an init block to use it.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

maintenance.md1 KB

Frequently asked questions

What does the Memory AI skill do?

Why use Memory on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tkellogg/open-strix/tree/main/open_strix/builtin_skills/memory. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use 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 Memory?

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

Is the Memory AI skill free?

Yes. It is published on GitHub by tkellogg 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.

View all

Watchers

NousResearch

OrganizationPopular

Poll RSS, JSON APIs, and GitHub with watermark dedup.

Karpathy Guidelines

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define…

Create Agent

Create a custom agent (.agent.md) for a specific job.

Create Hook

Create a hook (.json) to enforce policy or automate agent lifecycle events.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Memory

Memory Blocks

State Files

Journal & Events JSONL Files

Things to Track

Maintenance

Recovery & Re-Onboarding

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now