hermes-agent

Configure Hermes Agent with provider-agnostic models and persistent skills.

Updated May 2, 2026
One-click install
npx skills add https://github.com/AlvaroBiano/hermes-agent --skill hermes-agent-alvarobiano
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hermes-agent
Source: https://github.com/AlvaroBiano/hermes-agent/tree/main/skills/autonomous-ai-agents/hermes-agent
Command: npx skills add https://github.com/AlvaroBiano/hermes-agent --skill hermes-agent-alvarobiano

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hermes Agent enables teams to configure, extend, or contribute to an evolving AI agent framework that learns over time and operates across multiple gateways.

Core Features & Use Cases

  • Self-improving via skills to capture reusable workflows and persist knowledge between sessions.
  • Persistent memory and pluggable backends to remember preferences, environment details, and lessons learned.
  • Multi-platform gateway support, provider-agnostic models, and profiles for running isolated instances.

Quick Start

Start Hermes in your terminal and begin exploring its setup wizard and skill system.

Frequently Asked Questions about hermes-agent

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

FAQPage Schema
How do I configure an autonomous AI agent with persistent memory and gateway support?

You can configure an autonomous AI agent with persistent memory and multi-platform gateway support by running the Hermes setup wizard in your terminal to define profiles, select pluggable backends, and establish provider-agnostic model switching.

Can I use provider-agnostic model switching to run isolated AI agent instances?

Yes, provider-agnostic model switching allows you to run isolated AI agent instances by utilizing configurable profiles, enabling teams to operate multiple agents across different platforms and models without being locked into a single provider.

How does an AI agent capture reusable workflows and persist knowledge between sessions?

An AI agent captures reusable workflows and persists knowledge between sessions through a self-improving skill system that stores learned behaviors and preferences in pluggable memory backends, retaining environment details and lessons learned.

What is the best way to extend an AI agent framework with custom tooling and plugins?

The best way to extend an AI agent framework with custom tooling is through its extensible plugin architecture, which allows developers to build and integrate new skills that capture workflows and contribute to the evolving agent system.

Does Hermes Agent support cross-platform gateway capabilities for autonomous agents?

Yes, Hermes Agent supports cross-platform gateway capabilities, enabling autonomous AI agents to operate across multiple platforms and gateways while maintaining persistent memory and provider-agnostic model configurations.

Why do I need pluggable backends for AI agent memory configuration?

You need pluggable backends for AI agent memory configuration to flexibly store and retrieve preferences, environment details, and lessons learned, allowing the autonomous agent to remember context and operate effectively across different sessions.