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Save what was learned to memory v1.0.0

Use this resource to save useful outcomes, decisions and preferences to long-term memory

New

  • 548 downloads
  • 230 likes
  • 201 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install save-learnings-to-memory

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent picks the right bank, writes a short self-contained note (what, who, when, why) and stores it with the right attributes. It avoids saving a full transcript.

Mostly picked by

Updated November 2, 2026

Card for the “Save what was learned to memory” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: choosing the bank and writing a self-contained note
  • SKILL.md: storing rules and tags

Good fit for

  • A task is finished and its decision should help later
  • The user states a lasting preference

Not for

    Tags

    • memory
    • saving
    • decision
    • preferences

    About

    You say

    “Note that we chose vendor B because vendor A does not guarantee EU data residency.”

    Card for the “Save what was learned to memory” skill

    Skill published by vectorize-io under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to save useful outcomes, decisions and preferences to long-term memory
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.2 KB

    Origin and licence

    Listed unmodified

    Author
    vectorize-io
    Source
    github.com/vectorize-io/hindsight/tree/6decc291bc0b9f99568ad53cb0501f75128c6d7b/hindsight-integrations/grok-bot/skills/memory-retain
    Licence
    MIT

    Notice

    « memory-retain » (vectorize-io, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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