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Memories

Community
mweinbach
memories

Use when the user asks to view, list, inspect, add, create, edit, correct, update, or manage long-term memories for the current chat or workspace.

Overview

Publishermweinbach
Repositoryagent-coworker
Skill namememories
Stars
156
Forks
14
Bundled files
1
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 mweinbach on GitHub. Read the source before you install it.

Installation

Install the Memories 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/mweinbach/agent-coworker.git /tmp/agent-coworker
mkdir -p .claude/skills
cp -r /tmp/agent-coworker/skills/memories .claude/skills/memories
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Memories 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 Memories 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 Memories 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.

Memories

Use this skill for explicit memory-management requests. The goal is to keep long-term memory accurate without touching unrelated folders or inventing duplicate entries.

Use the conversation to resolve routine details and carry out the requested management action without asking for the same authorization again. Ask only when the intended memory or change remains materially ambiguous after inspection. User instructions override skill defaults within higher-priority instructions and enforced tool boundaries. If a tool limitation or an applicable rule blocks the request, identify it precisely; quote and name this SKILL.md when the rule comes from this skill. Report the result briefly.

Workflow

  1. Start with manageMemory action list to see the active folder, readable folders, paths, and summaries.
  2. Use manageMemory action read before changing an existing memory.
  3. Prefer edit when a relevant memory already exists. Use create only for a genuinely new durable fact, preference, or project note.
  4. Keep memory bodies concise and factual. Do not store secrets, credentials, transient status, or speculative conclusions.
  5. Use memory types consistently: feedback for user preferences or corrections, project for workspace-specific implementation context, and note for durable general context.
  6. After any unavoidable manual memory file repair, run manageMemory action refresh_index.

Boundaries

  • Use manageMemory for list/read/create/edit/refresh. Do not hand-write Markdown memory files when the tool is available.
  • Writes always go to the active memory folder for this chat or workspace.
  • (chats) may appear as shared readable context from project workspaces, but do not try to write to it unless it is the active folder.
  • Do not delete memories from this skill. Use the app or admin memory controls for deletion.
  • If manageMemory is unavailable, advanced memory may be disabled. Use the legacy memory tool only when it is present.

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 Memories AI skill do?

Use when the user asks to view, list, inspect, add, create, edit, correct, update, or manage long-term memories for the current chat or workspace.

Why use Memories on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mweinbach/agent-coworker/tree/main/skills/memories. 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 Memories?

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 Memories?

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

Is the Memories AI skill free?

It is published on GitHub by mweinbach. Check the repository for licensing terms. 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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