Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Sign in
Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

A page, a video or an image online.

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

SAFLA neural agent with persistent memory v1.0.0

Use this resource to design agents that learn from feedback and keep their memory

New

  • 515 downloads
  • 151 likes
  • 164 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install feedback-loop-persistent-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 combines distributed neural training with persistent memory: it keeps context across sessions and adjusts its strategies based on past results. You get an agent base that improves with experience.

Mostly picked by

Updated November 2, 2026

Card for the “SAFLA neural agent with persistent memory” skill

Details

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

Similar resources

View all

What you get

  • SKILL.md: feedback loop principles (SAFLA)
  • SKILL.md: distributed neural training and persistent memory
  • SKILL.md: integration examples with MCP tools

Good fit for

  • An agent must recover the working context of a previous session
  • You want an agent to adapt its strategy based on past results

Not for

    Tags

    • memory
    • learning
    • feedback
    • neural

    About

    You say

    “Set up persistent memory for this support agent and add a feedback loop on its answers.”

    Card for the “SAFLA neural agent with persistent memory” skill

    Skill published by ruvnet 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 design agents that learn from feedback and keep their memory
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.9 KB

    Origin and licence

    Listed unmodified

    Author
    ruvnet
    Source
    github.com/ruvnet/ruflo/tree/89b0cd02dd99ea1f63437fde6c05992ec53cc22b/.agents/skills/agent-safla-neural
    Licence
    MIT

    Notice

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

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.