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hermes-agent

Automate coding, research, system administration, and data analysis tasks with persistent memory.

Updated May 3, 2026
Search Tags:#automation#llm#agent framework#ai agent#hermes
One-click install
npx skills add https://github.com/eliottbusiness/DeptFlow-Agent --skill hermes-agent-eliottbusiness
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hermes-agent
Source: https://github.com/eliottbusiness/DeptFlow-Agent/tree/main/profile/skills/autonomous-ai-agents/hermes-agent
Command: npx skills add https://github.com/eliottbusiness/DeptFlow-Agent --skill hermes-agent-eliottbusiness

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openrouter, anthropic, nous, openai, github, google, deepseek, xai, huggingface, z.ai, minimax, kimi, xiaomi, kilo, ai gateway, opencode, openclaw, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of automating complex tasks, such as software development, system administration, and data analysis, by providing an AI agent with persistent context and full system access.

Core Features & Use Cases

  • Skill Learning and Accumulation: Self-improves through skills by saving reusable procedures and learning from experience.
  • Persistent Memory: Remembers users, preferences, and environment details across sessions.
  • Multi-Platform Gateway: Runs on various messaging platforms with full tool access.
  • Provider-Agnostic: Works with multiple LLM providers and can swap models mid-workflow.
  • Use Case: Ideal for software development, where it can assist in coding, debugging, and documentation.

Quick Start

Run the following command to start Hermes Agent:

hermes chat -q "What is the capital of France?"

Frequently Asked Questions about hermes-agent

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

FAQPage Schema
How do I automate coding and system administration tasks using an AI agent?▼

An AI agent framework automates coding and system administration tasks by providing persistent memory and full system access to execute complex workflows across your environment.

What is the best way to maintain context for an AI agent across different messaging platforms?▼

A multi-platform gateway AI agent ensures persistent memory by remembering users, preferences, and environment details across sessions while running on various messaging platforms.

Can I use OpenAI and Anthropic models interchangeably within a single automation workflow?▼

Yes, a provider-agnostic AI agent framework supports multiple LLM providers like OpenAI and Anthropic, allowing you to swap models dynamically mid-workflow to optimize task performance.

Does an AI agent framework support integration with Hugging Face and GitHub for software development?▼

Yes, an AI agent framework supports extensive tool integration with dependencies including GitHub and Hugging Face, making it ideal for assisting in software development, debugging, and documentation.

How do AI agents improve their task automation capabilities over time?▼

AI agents self-improve through skill learning and accumulation, saving reusable procedures from prior experiences to continuously enhance their task automation and data analysis capabilities.

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