skills.rest
icyzh
icyzhCOMMUNITY
Explore all skills by this author →
Website𝕏@icyzhbeGitHub

hermes-agent

Orchestrate autonomous AI agent workflows across terminal, desktop, and web surfaces.

1|Updated Jul 31, 2026
Search Tags:#automation#workflow#cli#agent#multi-agent#orchestration
One-click install
npx skills add https://github.com/icyzh/hermes-web --skill hermes-agent-icyzh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hermes-agent
Source: https://github.com/icyzh/hermes-web/tree/main/skills/autonomous-ai-agents/hermes-agent
Command: npx skills add https://github.com/icyzh/hermes-web --skill hermes-agent-icyzh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Managing complex, multi-step AI tasks across different platforms and environments is fragmented and inefficient, leading to context loss and manual overhead.

Core Features & Use Cases

  • Multi-Surface Orchestration: Run the same agent core across CLI, TUI, desktop, and web interfaces.
  • Autonomous Task Delegation: Spawn independent sub-agents for parallel processing and long-running missions.
  • Use Case: Use the agent to coordinate a backend and frontend development task simultaneously, where the backend agent builds the API and the frontend agent consumes the schema, all while maintaining persistent memory and tool access.

Quick Start

Use the hermes-agent skill to spawn a new autonomous session for researching and summarizing the latest GRPO papers into a local markdown file.

Frequently Asked Questions about hermes-agent

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

FAQPage Schema
How do I orchestrate autonomous AI agents across CLI, desktop, and web interfaces?▼

Multi-surface orchestration runs a unified agent core across terminal, TUI, desktop, and web interfaces. This enables persistent memory, multi-agent coordination, and cross-platform tool execution for complex task automation without context loss.

What is the best way to coordinate parallel sub-agents for frontend and backend development?▼

Autonomous task delegation spawns independent sub-agents for parallel processing and long-running missions. A backend agent can build an API while a frontend agent consumes the schema, both maintaining persistent memory and tool access.

Do I need a specific environment configured to run multi-agent workflows locally?▼

Yes, running multi-agent workflows requires a configured Hermes environment with access to model providers and local system tools. This setup provides the persistent memory and cross-platform tool execution needed for complex task automation.

How does persistent memory work when automating complex multi-step tasks?▼

Persistent memory maintains context across different platforms and environments during complex multi-step tasks. This prevents the context loss and manual overhead that typically fragment multi-surface AI agent workflows.

Can I use this framework to research papers and save summaries directly to local files?▼

Yes, you can spawn a new autonomous session to research and summarize papers into a local markdown file. The agent orchestrates the research workflow and executes cross-platform tools to write the output directly to your local system.

Related Skills

Explore More Software Engineering Skills→
AlvaroBianoAlvaroBiano

hermes-agent

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

Community
Advanced
adelproadelpro
2

agent-orchestrator

Decompose macro tasks into subtasks and orchestrate autonomous sub-agents via file-based communication.

Community
Advanced
jameinghjameingh
2

tauri2-react-rust

Build cross-platform desktop apps with Tauri 2, Rust, and React.

Community
Advanced
himanshu231204himanshu231204
2

autonomous-agent-harness

Configure persistent self-directing agent workflows with Claude Code and MCP servers.

Community
Advanced