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AI agent architecture: loops, tools and memory v1.0.0

Use this resource to design, audit or debug an AI agent harness

New

  • 379 downloads
  • 155 likes
  • 143 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install agent-harness-architecture-guide

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 goes through the covered modes (MVP, troubleshooting, real-time voice, always-on agents, agent teams) and answers according to the need: architecture, tool loop, memory or permissions. You get an architecture plan or a diagnosis that does not depend on a single provider.

Mostly picked by

Updated November 2, 2026

Card for the “AI agent architecture: loops, tools and memory” skill

Details

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

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What you get

  • SKILL.md: working modes (MVP, troubleshooting, hardware deployment, voice, always-on agent, recursive harness)
  • README.md: skill overview and source

Good fit for

  • You want an agent that handles support requests end to end
  • Your current agent loops or calls the wrong tools

Not for

    Tags

    • agent
    • architecture
    • tools
    • memory

    About

    You say

    “Design the architecture of a customer support agent with tools, memory and permissions.”

    Card for the “AI agent architecture: loops, tools and memory” skill

    Skill published by denissergeevitch 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, audit or debug an AI agent harness
    3. Review and adjust the result

    Content preview

    Files

    • .gitignore0.1 KB
    • icon.jpeg102.6 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • README.md29.8 KB
    • SKILL.md31.9 KB

    Origin and licence

    Listed unmodified

    Author
    denissergeevitch
    Source
    github.com/denissergeevitch/agents-best-practices/tree/da245f8cbfc4c358e8c3cde61dbb703bd40292bc/
    Licence
    MIT

    Notice

    « agents-best-practices » (denissergeevitch, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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