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hermes-agent

Orchestrate autonomous AI agents with persistent memory and configurable pipelines.

Updated Apr 16, 2026
Search Tags:#cli#skills#multi-agent#memory#gateway#ai-framework#hermes-agent
One-click install
npx skills add https://github.com/jacardl/New-Radar --skill hermes-agent-jacardl
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hermes-agent
Source: https://github.com/jacardl/New-Radar/tree/main/backend/frameworks/hermes-agent/skills/autonomous-ai-agents/hermes-agent
Command: npx skills add https://github.com/jacardl/New-Radar --skill hermes-agent-jacardl

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate autonomous AI agents to cooperate, persist context across sessions, and be extended via skills with tooling and gateway support.

Core Features & Use Cases

  • Multi-agent orchestration: run and coordinate several Hermes agents to tackle complex tasks.
  • Persistent memory: maintain context, preferences, and lessons across sessions.
  • Extensibility: load and manage skills, plugins, and tools to adapt to new workflows.
  • Gateway & platform integration: operate across terminal, IDE, and messaging gateways with provider-agnostic backends.

Quick Start

Install Hermes Agent and run the interactive setup to configure your first agent.

Frequently Asked Questions about hermes-agent

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

FAQPage Schema
How do I orchestrate multiple AI agents to cooperate on complex tasks?▼

Multi-agent orchestration coordinates several autonomous agents to tackle complex development and research tasks. Hermes Agent enforces configurable pipelines, allowing agents to cooperate and persist context across sessions for continuous automation workflows.

How does persistent memory work for autonomous AI agents across sessions?▼

Persistent memory maintains context, preferences, and lessons across sessions for autonomous AI agents. Hermes Agent utilizes configurable memory backends to ensure state and history are saved, enabling workflows to resume without losing prior interactions.

Can I use a provider-agnostic model backend for my AI framework?▼

Yes, provider-agnostic model backends are supported through built-in gateway support. Hermes Agent integrates across terminal, IDE, and messaging platforms, allowing you to configure external AI providers without being locked into a specific vendor.

How do I load and manage modular skills for AI agent workflows?▼

Modular skills loading is handled via CLI-driven configuration to extend agent workflows. Hermes Agent dynamically loads and manages skills, plugins, and tools, allowing you to adapt agents to new automation tasks and integrate custom tooling.

What is the best way to configure AI agent pipelines via a CLI?▼

Configuring AI agent pipelines via a CLI involves using command-line interfaces to define modular workflows. Hermes Agent enforces CLI-driven configuration to set up cooperative agents, memory backends, and gateway integrations for development and automation.

Do I need gateway support to run AI agents across different platforms?▼

Gateway support is required to operate AI agents across terminal, IDE, and messaging platforms seamlessly. Hermes Agent uses these gateways to ensure provider-agnostic model backends function correctly across diverse environments.

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