Routine Memory

OrganizationPopular

vectorize-io

routine-memory

Carry state between runs of a scheduled routine using Hindsight memory. Use when creating or editing a routine, to write the recall and retain steps into the routine's own instructions, and at the start and end of every scheduled or event-triggered routine run.

Overview

Publisher	vectorize-io
Repository	`hindsight`
Skill name	`routine-memory`
Stars	48.5K
Forks	6K
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 vectorize-io on GitHub. Read the source before you install it.

Installation

Install the Routine 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/vectorize-io/hindsight/tree/main/hindsight-integrations/grok-bot/skills/routine-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/vectorize-io/hindsight/tree/main/hindsight-integrations/grok-bot/skills/routine-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/vectorize-io/hindsight.git /tmp/hindsight
mkdir -p .claude/skills
cp -r /tmp/hindsight/hindsight-integrations/grok-bot/skills/routine-memory .claude/skills/routine-memory

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

Use it in TypingMind

Enable Routine 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 Routine 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 Routine 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.

Remember between routine runs

A routine runs again and again. Without memory each run starts from zero, repeats work and misses what changed. Read the last run before starting, and record this run before finishing.

When creating or editing a routine

Write the memory steps into the routine's own instructions, so every run carries them even when nobody is in the chat:

First: "Recall the last run of from Hindsight and use it."
Last: "Retain a run note to Hindsight: what this run found, what changed, and what the next run should check first."

Tell the user you added them.

At the start of the run

Call recall on this Bot's bank with the query "last run of ".
Use it: skip what was already handled, pick up what was left open, and compare against what the last run found.

At the end of the run

Call retain on this Bot's bank with a note covering: the routine name, the date, what this run found, what changed since the last run, and what the next run should check first. Retain a note even when nothing changed, so the next run knows when this one looked.
Use the tags source:grok-bot, bot:<bot-name> and routine:<routine name>.
If the run found something other Bots should act on, also retain it to grok-bot::shared (see the bot-handoff skill).

Frequently asked questions

What does the Routine Memory AI skill do?

Why use Routine Memory on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vectorize-io/hindsight/tree/main/hindsight-integrations/grok-bot/skills/routine-memory. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Routine 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 Routine Memory?

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

Is the Routine Memory AI skill free?

Yes. It is published on GitHub by vectorize-io 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

Remember between routine runs

When creating or editing a routine

At the start of the run

At the end of the run

Frequently asked questions

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