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Associative memory for AI agents v1.0.0

Use this resource to give an agent memory that links related recollections

New

  • 382 downloads
  • 193 likes
  • 218 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install associative-memory-recall

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 stores memories in a neural graph, links them with typed synapses and strengthens links that are often used together. It detects contradictions and lets stale memories fade. You get context recalled by meaning, even without shared keywords.

Mostly picked by

Updated November 2, 2026

Card for the “Associative memory for AI agents” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, verification and troubleshooting
  • SKILL.md: reference of memory, reasoning and management tools

Good fit for

  • You want an agent to remember past conversations
  • You want to trace why a decision was made through its causes

Not for

    Tags

    • memory
    • agents
    • recall
    • graph

    About

    You say

    “Do you remember why we chose this database?”

    Card for the “Associative memory for AI agents” skill

    Skill published by nhadaututtheky 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 give an agent memory that links related recollections
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md9.9 KB

    Origin and licence

    Listed unmodified

    Author
    nhadaututtheky
    Source
    github.com/nhadaututtheky/neural-memory/tree/beae71687fbd964b739b0945035827323752e420/integrations/neural-memory
    Licence
    MIT

    Notice

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

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