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hermes-agent

Configure and manage Hermes Agent instances across messaging platforms with persistent memory.

7|1|Updated Jul 26, 2026
Search Tags:#automation#workflow#cli#agent#multi-agent#autonomous
One-click install
npx skills add https://github.com/paxlabs-inc/ion-agent --skill hermes-agent-paxlabs-inc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hermes-agent
Source: https://github.com/paxlabs-inc/ion-agent/tree/main/skills/autonomous-ai-agents/hermes-agent
Command: npx skills add https://github.com/paxlabs-inc/ion-agent --skill hermes-agent-paxlabs-inc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires uv, mcp, and includes references (resource) components.

What problem does it solve?

This skill streamlines the setup, configuration, and orchestration of the Hermes Agent framework, allowing users to manage multi-agent workflows and persistent memory without manual overhead.

Core Features & Use Cases

  • Multi-Platform Gateway: Run the same agent across Telegram, Discord, Slack, and other messaging platforms with full tool access.
  • Persistent Memory & Skills: Enable the agent to learn from experience by saving reusable procedures and maintaining context across sessions.
  • Use Case: A developer can use this skill to spawn an autonomous agent that monitors a GitHub repository, manages CI/CD tasks, and reports status updates directly to a Slack channel.

Quick Start

Run the hermes setup command in your terminal to initialize the agent, configure your preferred LLM provider, and perform a system health check.

Frequently Asked Questions about hermes-agent

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

FAQPage Schema
How do I deploy autonomous AI agents across multiple messaging platforms?▼

You can deploy autonomous AI agents across multiple messaging platforms by configuring a multi-platform gateway, allowing the same agent instance to run simultaneously on Telegram, Discord, and Slack with full tool access.

What is the best way to maintain context for autonomous agents across sessions?▼

The best way to maintain context for autonomous agents across sessions is by enabling persistent memory, which allows the agent to learn from experience and save reusable procedures for future complex task execution.

Do I need Python and uv to manage multi-agent workflows?▼

Yes, you need Python 3.10 or higher and uv installed to manage multi-agent workflows, along with access to supported LLM provider APIs to enable the full agentic capabilities of the framework.

Can I use autonomous agents to monitor GitHub repositories and report to Slack?▼

Yes, you can spawn an autonomous agent to monitor a GitHub repository, manage CI/CD tasks autonomously, and report status updates directly to a Slack channel through the multi-platform gateway.

How do I initialize an autonomous agent and configure an LLM provider?▼

To initialize an autonomous agent and configure an LLM provider, run the hermes setup command in your terminal, which also performs a system health check to ensure your environment is ready.

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