hermes-agent

Configure and orchestrate Hermes Agent across CLI, TUI, and desktop environments.

Updated Jun 17, 2026
One-click install
npx skills add https://github.com/cxnaive/hermes-agent-llbot --skill hermes-agent-cxnaive
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hermes-agent
Source: https://github.com/cxnaive/hermes-agent-llbot/tree/main/skills/autonomous-ai-agents/hermes-agent
Command: npx skills add https://github.com/cxnaive/hermes-agent-llbot --skill hermes-agent-cxnaive

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a centralized hub for managing the Hermes Agent framework, allowing users to configure, theme, and orchestrate autonomous agents across multiple platforms and surfaces.

Core Features & Use Cases

  • Multi-Surface Orchestration: Manage agents running in the terminal, native desktop apps, and messaging platforms like Telegram or Discord.
  • Self-Improving Workflow: Create and manage reusable skills that allow the agent to learn from experience and persist knowledge across sessions.
  • Use Case: Use this Skill to spawn independent Hermes instances for long-running autonomous coding tasks while maintaining a separate interactive session for daily chat and configuration.

Quick Start

Use the hermes-agent skill to launch the setup wizard and configure your preferred LLM provider and model.

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 coding agent to run across multiple platforms like terminal and desktop?

Multi-surface agent orchestration lets you manage autonomous coding agents across CLI, TUI, and desktop environments. You configure profiles and memory backends to control instances running in terminals, native apps, or messaging platforms like Discord.

What is the best way to spawn independent agents for long-running coding tasks while keeping an interactive chat session?

Spawning multiple independent agents allows you to run long-running autonomous coding tasks separately. You maintain a dedicated interactive session for daily chat and configuration while background instances execute workflows concurrently.

How do I set up a self-improving workflow for an autonomous agent?

A self-improving agent workflow uses reusable skills to persist knowledge across sessions. You create and manage skill profiles that let the agent learn from experience, storing accumulated data in local memory backends.

Can I use Hermes Agent to orchestrate instances on messaging platforms like Telegram or Discord?

Yes, Hermes Agent supports multi-surface orchestration for messaging platforms. You can configure and manage autonomous instances running natively on Telegram or Discord alongside your standard terminal and desktop environments.

Do I need access to the Hermes Agent repository to manage local configuration and profiles?

Yes, managing local configuration requires access to the Hermes Agent repository. You need local configuration paths to set up LLM providers, manage profiles, and configure memory backends for your autonomous agents.

How does multi-agent orchestration work for autonomous coding workflows in the terminal?

Multi-agent orchestration manages concurrent instances running in terminal and TUI environments. You control autonomous coding agents by configuring distinct profiles, allowing each instance to operate independently while sharing a centralized configuration hub.