hermes-agent-framework-guide

Document architectural knowledge for the hermes-agent framework codebase.

Updated Jul 7, 2026
One-click install
npx skills add https://github.com/reez455G/my-ai-agents --skill hermes-agent-framework-guide
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hermes-agent-framework-guide
Source: https://github.com/reez455G/my-ai-agents/tree/main/.omp/skills/hermes-agent-framework-guide
Command: npx skills add https://github.com/reez455G/my-ai-agents --skill hermes-agent-framework-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires venv, rich, prompt_toolkit, KawaiiSpinner, model_tools, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This guide provides a comprehensive understanding of the hermes-agent framework, making it easier to develop, customize, and troubleshoot AI-powered applications.

Core Features & Use Cases

  • Framework Overview: Explore the AIAgent class, tool registry, CLI, gateway, skin engine, and the ReAct agent loop.
  • Prompt Caching: Learn best practices for maintaining consistent prompt caching throughout a conversation.
  • Configuration: Customize development environments, tools, and CLI interfaces with clear instructions.
  • Addition of New Tools: Get step-by-step guidance on creating new tools for the framework.
  • Quick Start: Navigate through the file structure of the hermes-agent codebase for quick orientation.

Quick Start

Follow the development guide to customize or extend the hermes-agent framework's features.

Frequently Asked Questions about hermes-agent-framework-guide

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

FAQPage Schema
How does the ReAct loop work in the hermes-agent framework?

The ReAct loop in the hermes-agent framework orchestrates the AIAgent class by iteratively processing reasoning steps and executing registered tools. You get a structured cycle where the agent evaluates observations to decide the next tool action.

How do I add a new custom tool to an AI agent framework?

Adding a custom tool to the AI agent framework requires registering it within the tool registry so the ReAct loop can invoke it. This guide provides step-by-step instructions for defining tool schemas and integrating them into the codebase.

What are the best practices for maintaining prompt caching in an AI conversation?

Prompt caching in an AI conversation requires maintaining consistent prompt prefixes throughout the dialogue to hit the cache effectively. This guide outlines specific configuration guidelines to ensure your message history preserves cache hits.

How do I customize the CLI interface for a Python AI agent?

Customizing the CLI interface for a Python AI agent involves modifying the gateway and skin engine components using prompt_toolkit and rich. This allows you to alter terminal outputs, command parsing, and interactive shell behavior.

Do I need venv and prompt_toolkit to run the hermes-agent framework?

Yes, you need venv to manage the isolated Python environment and prompt_toolkit to handle the interactive CLI commands. These dependencies are required to execute the framework's gateway and skin engine properly.