hermes-agent

Configure and troubleshoot Hermes Agent across Linux, macOS, and WSL.

7|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/kzinmr/ai-topics --skill hermes-agent-kzinmr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hermes-agent
Source: https://github.com/kzinmr/ai-topics/tree/main/config/hermes/skills/_overrides/hermes-agent
Command: npx skills add https://github.com/kzinmr/ai-topics --skill hermes-agent-kzinmr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pymysql, pyyaml, argparse, rich, termcolor, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Hermes Agent skill solves the problem of manual setup and troubleshooting of Hermes Agent, an open-source AI agent framework.

Core Features & Use Cases

  • Complete Setup & Configuration: Step-by-step instructions and scripts for installation, model selection, and custom configurations.
  • Agent Instance Spawning: Tools and commands for spawning new instances, coordinating them with one another, and integrating them with different messaging platforms.
  • Troubleshooting Support: Troubleshooting tools for resolving issues with model providers, toolsets, gateway platforms, and cron jobs.

Quick Start

Use 'hermes' to get started. For example, run 'hermes chat -q "What is the capital of France?"' for a single query, or 'hermes setup' for a guided setup process.

Frequently Asked Questions about hermes-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up an open-source AI agent framework on Linux or WSL?

To set up an AI agent framework on Linux, macOS, or WSL environments, use a guided setup process for installation, model selection, and custom configurations. This automates environment preparation and gateway platform integration.

Can I integrate a multi-platform AI agent with OpenAI, Anthropic, and Google Gemini?

Yes, you can integrate multi-platform AI agents with OpenAI, Anthropic, Google Gemini, GitHub Copilot, and Nous Portal. The setup process handles model provider configuration and gateway platform integration for these services.

How do I spawn and coordinate multiple AI agent instances across messaging platforms?

Spawning and coordinating multiple AI agent instances involves using specific tools and commands to generate new instances and integrate them with various messaging platforms. This allows multiple agents to coordinate with one another.

How do I troubleshoot AI agent model provider and gateway platform issues?

Troubleshooting AI agent model provider and gateway platform issues requires dedicated diagnostic tools to resolve configuration problems, toolset failures, and cron job errors across different supported environments.

Do I need Python dependencies like pymysql and pyyaml to configure an AI agent?

Yes, configuring this AI agent framework requires Python dependencies including pymysql, pyyaml, argparse, rich, and termcolor to execute scripts, manage setup, and handle system automation tasks.

What is the best way to run a single query with an AI agent framework?

The best way to run a single query with an AI agent framework is using a direct chat command with a quoted question argument, such as 'chat -q', which processes the query immediately without interactive mode.