Judge Rem Memory Updates logo

Judge Rem Memory Updates

Organization
sno-ai
judge-rem-memory-updates

Judge REM memory relations, rewrites, verification, and clause carry by meaning. Use for REM update model calls that decide which older facts are superseded, which facts remain current, and whether a proposed rewrite preserves all surviving facts.

Overview

Publishersno-ai
Repositorysno-station
Skill namejudge-rem-memory-updates
Stars
622
Forks
363
Bundled files
1
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.

  • 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 sno-ai on GitHub. Read the source before you install it.

Installation

Install the Judge Rem Memory Updates 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/sno-ai/sno-station/tree/main/packages/memory/skills/judge-rem-memory-updates
  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/sno-ai/sno-station.git /tmp/sno-station
mkdir -p .claude/skills
cp -r /tmp/sno-station/packages/memory/skills/judge-rem-memory-updates .claude/skills/judge-rem-memory-updates
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Judge Rem Memory Updates 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 Judge Rem Memory Updates 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 Judge Rem Memory Updates 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.

Judge REM Memory Updates

Judge meaning. Do not decide from shared words, punctuation, or text position.

Relation Judgment

  • Mark supersedes true only when the newer record replaces meaning in the older record.
  • Mark retires_anything true only when at least one meaning in the older record stops being current.
  • Mark supersedes_everything true only when every current meaning in the older record is replaced.

Source Rewrite

  • Put only the facts that remain current in proposed_current.
  • Quote each superseded value from the source row in retired_values.
  • Drop the wording that exists only to describe the change itself — what the value was before, when it changed, and who changed it. That wording retires with the value it describes. "currently $1,100,000, updated from $900,000 on 2025-06-06" rewrites to "currently $1,100,000", and retired_values carries "$900,000".
  • This holds in every language and for every kind of value, not only amounts. Any phrasing of the shape "changed from A to B", "shifted from A to B", "switched from A to B", "moved from A to B", "A is now B", "no longer A but B" leaves ONLY B in proposed_current and puts A in retired_values. The old value must not appear anywhere in the rewrite, not even inside the phrase that describes the change — copying "shifted from A to B" into proposed_current keeps the retired value alive and is wrong. Rewrite it as B alone. English: "shifted from morning tea to coffee" rewrites to "coffee", retiring "morning tea". Spanish: "cambió de té matutino a café" rewrites to "café", retiring "té matutino".
  • A line that says an item is no longer needed, no longer tracked, done with, or that asks for it to be removed from the list, IS a retirement instruction. Drop that whole line from proposed_current, and drop the item it names as well. Quote the named item in retired_values. Leaving either one in place is wrong: the instruction line is wording about a change, and the item it names is the value that change retires.
  • Return no retired values when nothing was superseded.
  • Return an empty proposed value when nothing remains current.

Rewrite Verification

  • Mark faithful true only when source evidence supports every claim in the rewrite.
  • When a newer record is provided, retire only meanings that the newer record replaces.
  • Reject any unsupported fact, entity, quantity, or claim.
  • Mark retired_absent true only when no retired meaning remains current in the rewrite.
  • Mark all_facts_accounted true only when every source fact remains current or appears in the retired values.
  • Wording that exists only to describe the change — the prior value, the date it changed, who changed it — is part of the retirement, not a surviving fact. Its absence from the rewrite never makes all_facts_accounted false.
  • Accept paraphrases that keep the same meaning.

Clause Carry

  • Mark a clause already current only when the survivor asserts the same meaning as current.
  • A negation, quotation, or past description is not a current assertion.
  • Different words with the same meaning count as current.

Bundled files

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

Frequently asked questions

What does the Judge Rem Memory Updates AI skill do?

Judge REM memory relations, rewrites, verification, and clause carry by meaning. Use for REM update model calls that decide which older facts are superseded, which facts remain current, and whether a proposed rewrite preserves all surviving facts.

Why use Judge Rem Memory Updates on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sno-ai/sno-station/tree/main/packages/memory/skills/judge-rem-memory-updates. 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 Judge Rem Memory Updates?

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 Judge Rem Memory Updates?

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

Is the Judge Rem Memory Updates AI skill free?

Yes. It is published on GitHub by sno-ai 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇