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Hermes Philosophy Podcast

Organization
Hermes-brasil
hermes-philosophy-podcast

Insights do podcast Peter Yang com Karan Malhotra (Nous).

Overview

PublisherHermes-brasil
Repositoryhermes-brasil
Skill namehermes-philosophy-podcast
Stars
155
Forks
8
Bundled files
Instructions only
LicenseMIT
Links
  • 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 Hermes-brasil on GitHub. Read the source before you install it.

Installation

Install the Hermes Philosophy Podcast AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Hermes-brasil/hermes-brasil/tree/main/skills/hermes-philosophy-podcast
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/Hermes-brasil/hermes-brasil.git /tmp/hermes-brasil
mkdir -p .claude/skills
cp -r /tmp/hermes-brasil/skills/hermes-philosophy-podcast .claude/skills/hermes-philosophy-podcast
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hermes Philosophy Podcast 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 Hermes Philosophy Podcast 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 Hermes Philosophy Podcast 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.

Filosofia Hermes — Podcast Peter Yang + Karan Malhotra (Nous Research)

Fonte: "Hermes Co-Founder on Building an AI Agent That Improves Itself" (Peter Yang, 02/08/2026) Karan Malhotra — co-fundador da Nous Research (empresa por trás do Hermes Agent). YouTube: UWjh5Z4s8jY · Podcast também no Spotify/Apple.

Contexto

Karan co-fundou a Nous Research (2023) com Jeffrey Quesnelle, Teknium e Shivani Mitra. Hermes é o #1 agente pessoal e app de IA no OpenRouter. Nous Research em negociação de valuation US$1,5bi (Jul/2026). ~214k estrelas no GitHub.

Pontos-chave do episódio

1. O modelo é DESCARTÁVEL, o contexto é OURO

"O 'pessoal' no agente pessoal NÃO é o modelo.
É a MEMÓRIA das conversas + as SKILLS que você construiu."
  • Trocar de modelo (DeepSeek, Claude, etc.) quase não muda a personalidade se o agente acumulou contexto suficiente sobre o usuário
  • O modelo é intercambiável; a camada de contexto (memória + skills + self-improvement) é o ativo que preservar
  • APLICAÇÃO: valorizar memória/skills como "segundo cérebro" que persiste entre modelos

2. Hermes melhora sem virar slop (self-improvement loop)

"O maior contribuidor do Hermes Agent hoje é o próprio Hermes Agent."
  • Cria skills a partir da experiência
  • Limpa e ajusta as próprias skills
  • Melhora a cada uso (loops de aprendizado)

3. Antissicofancia — IA com opinião própria

"Quando a IA diz 'você está absolutamente certo', você está sendo
REWARD HACKED. Você é combustível pra função de recompensa."
  • IA que concorda sempre = aduladora (sycophancy), não leal
  • Melhor treinar para TER OPINIÃO PRÓPRIA e dar bons argumentos
  • Sair da sycophancy é como tirar um humano de um mau hábito

4. Demos reais de capacidade

  • Modificou o Sonic Adventure 2 usando Hermes (tarefa complexa de código)
  • Agente executa trabalho real, não só conversa

5. Um Kanban para humanos E agentes

  • Usa UM board Kanban para orquestrar humanos e agentes de IA juntos
  • APLICAÇÃO: padrão poderoso para projetos compartilhados humano + agente

6. Como Hermes difere de Claude Code / Codex

  • Foco em agente pessoal contínuo (long-lived), não só coding agent
  • Memória e personalidade persistentes

7. Por que open-source deve vencer

"Precisamos continuar dando esse nível de inteligência a todos,
para que estejamos em um campo de jogo igual."
  • Nous Research é open-source-first e pró-descentralização
  • Segurança: debate open vs closed-source

Soul.md do Peter Yang (modelo de personalidade)

Estrutura que Peter usa (após 6+ meses usando Hermes):

1. CORE TRUTHS: verdades fundamentais
   Ex: "seja genuinamente útil, evite sycophancy"
2. BOUNDARIES: limites
   Ex: "respeite minha privacidade, especialmente em grupos"
3. VIBES: tom/atmosfera
   Ex: "torne divertido de conversar"

Como usar esta skill

  • Referência de filosofia/posicionamento do Hermes Agent
  • Aplicar princípios: memória/skills como ativo, antissicofancia, Kanban humano+agente
  • Modelo para criar/refinar SOUL.md (personalidade do agente)
  • Conteúdo para ebooks/cursos sobre Hermes

Frequently asked questions

What does the Hermes Philosophy Podcast AI skill do?

Insights do podcast Peter Yang com Karan Malhotra (Nous).

Why use Hermes Philosophy Podcast on TypingMind?

Because you install it once and use it with any model. Hermes Philosophy Podcast 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 Hermes Philosophy Podcast in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Hermes-brasil/hermes-brasil/tree/main/skills/hermes-philosophy-podcast. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hermes Philosophy Podcast?

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 Hermes Philosophy Podcast?

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

Is the Hermes Philosophy Podcast AI skill free?

Yes. It is published on GitHub by Hermes-brasil 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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