Memory

Community

686f6c61

memory

This skill should be used when the user asks to record a design decision, search past project decisions, inspect the Alfred memory timeline, or work with the alfred-memory MCP server. Use it to call the namespaced MCP tools instead of inventing history.

Overview

Publisher	686f6c61
Repository	`alfred-dev`
Skill name	`memory`
Stars	115
Forks	7
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 686f6c61 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.
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/686f6c61/alfred-dev.git /tmp/alfred-dev
mkdir -p .claude/skills
cp -r /tmp/alfred-dev/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.

Memoria persistente de Alfred

Registrar y consultar decisiones del proyecto a través del servidor MCP alfred-memory. No inventar historial. Si la herramienta no está disponible, decirlo y no simular resultados.

Nombres reales de las tools

Claude Code expone las tools del plugin con prefijo MCP. Usar estos nombres, no los cortos:

mcp__plugin_alfred-dev_alfred-memory__memory_search
mcp__plugin_alfred-dev_alfred-memory__memory_get_decisions
mcp__plugin_alfred-dev_alfred-memory__memory_get_iteration
mcp__plugin_alfred-dev_alfred-memory__memory_get_timeline
mcp__plugin_alfred-dev_alfred-memory__memory_stats
mcp__plugin_alfred-dev_alfred-memory__memory_log_decision
mcp__plugin_alfred-dev_alfred-memory__memory_update_decision
mcp__plugin_alfred-dev_alfred-memory__memory_link_decisions
mcp__plugin_alfred-dev_alfred-memory__memory_health

Si el runtime muestra un prefijo distinto, usar el que aparezca en la lista de tools, siempre del servidor alfred-memory.

Qué se escribe y qué no

Sí: decisiones de diseño, resultado de gates, handoffs, UAT y commits hechos en una sesión de Alfred.

No: historial antiguo de Git, cada Read/Glob/Grep, consejos operativos ni kanban vacío.

Llamar a memory_log_decision solo cuando haya una elección real de diseño, seguridad o entrega. No registrar cada edit. Si la decisión es de arquitectura o compliance, el Markdown vivo (docs/adr/, docs/project/compliance.md) es lo que lee un humano; la memoria no lo sustituye.

Campos mínimos: título, contexto, alternativas descartadas, justificación, etiquetas.

Consulta

Para "por qué decidimos X" o "qué hicimos la última vez": memory_search o memory_get_decisions con el término y, si aplica, rango o tags.

Si no hay filas, responder que no hay registros. No inferir.

No existe el agente librarian. Esta skill y /alfred-dev:memory-ui son la vía de consulta histórica.

UI

La vista gráfica es /alfred-dev:memory-ui. Esta skill no arranca el servidor HTTP. Para cerrarla: /alfred-dev:memory-ui stop. Al terminar la sesión de Claude se detiene sola.

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/686f6c61/alfred-dev/tree/main/skills/memory. TypingMind reads its SKILL.md 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 686f6c61 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

Memoria persistente de Alfred

Nombres reales de las tools

Qué se escribe y qué no

Consulta

UI

Frequently asked questions

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