Hermes AI Agent | Setup & Configuration Guide

Hermes AI Agent - Complete Setup Guide

Hermes is an autonomous AI agent that runs in your terminal, designed to help with coding, research, automation, and complex multi-step tasks.

Overview

Hermes combines multiple AI capabilities in a CLI environment:

Multi-tool orchestration - Coordinates various tools and APIs
Autonomous task execution - Handles complex workflows independently
Code-aware - Understands project structure and context
Extensible - Plugin system for custom capabilities

Key Features

Feature	Description
Terminal Native	Runs directly in your shell environment
Multi-Provider	Works with OpenAI, Anthropic, Google, Groq, and more
Tool Integration	Built-in support for 100+ tools (file, web, git, etc.)
Persistent Memory	Remembers context across sessions
Sub-agents	Can spawn specialized sub-agents for parallel work

Installation

Prerequisites

Node.js 18+ or Python 3.10+
API key from at least one provider

Install via npm

npm install -g @hermes/agent

Install via pip

pip install hermes-agent

Configuration

Basic Config File (`~/.hermes/config.yaml`)

# Provider settings
provider: openai  # or anthropic, google, groq, etc.
api_key: ${OPENAI_API_KEY}
model: gpt-4o

# Agent behavior
max_iterations: 50
auto_confirm: false  # Set to true for fully autonomous mode

# Tools configuration
tools:
  - file
  - web_search
  - git
  - terminal
  - code_execution

# Memory settings
memory:
  enabled: true
  storage: local  # or redis, postgres

Environment Variables

export OPENAI_API_KEY="sk-..."
# or
export ANTHROPIC_API_KEY="sk-ant-..."
# or
export GEMINI_API_KEY="..."

Usage

Interactive Mode

hermes
# or
hermes --interactive

Single Task Mode

hermes "Create a Python script that fetches weather data"

File-based Tasks

hermes --file task.md

With Specific Provider

hermes --provider anthropic --model claude-sonnet-4 "Review this code"

Common Workflows

Code Review

hermes "Review the src/ directory for potential bugs and suggest improvements"

Research Task

hermes "Research the latest React server components best practices and summarize findings"

Automation Script

hermes "Create a bash script that backs up all .md files to a dated folder"

Multi-step Project

hermes --file project-spec.md  # File contains detailed project requirements

Advanced Features

Sub-agents

Hermes can spawn specialized sub-agents:

hermes "Create a React app with sub-agents for frontend, backend, and testing"

Skills

Enable pre-built skill packs:

skills:
  - web_development
  - data_analysis
  - devops
  - security

MCP Integration

Connect to Model Context Protocol servers:

mcp_servers:
  filesystem:
    command: npx
    args: ["-y", "@modelcontextprotocol/server-filesystem", "/path"]
  git:
    command: uvx
    args: ["mcp-server-git"]

Provider-Specific Configuration

OpenAI

provider: openai
api_key: ${OPENAI_API_KEY}
model: gpt-4o
max_tokens: 4096
temperature: 0.7

Anthropic Claude

provider: anthropic
api_key: ${ANTHROPIC_API_KEY}
model: claude-sonnet-4-20250514
max_tokens: 8192

Google Gemini

provider: google
api_key: ${GEMINI_API_KEY}
model: gemini-2.5-pro
max_tokens: 8192

Groq

provider: groq
api_key: ${GROQ_API_KEY}
model: llama-3.3-70b-versatile

Comparison with Other Agents

Feature	Hermes	Claude Code	OpenCode	Codex
Terminal-based	✅	✅	✅	✅
Multi-provider	✅	❌	✅	✅
Sub-agents	✅	❌	❌	❌
Plugin system	✅	❌	❌	❌
Free tier	Partial	Paid only	✅	Partial

Troubleshooting

”No provider configured”

Set your API key:

export OPENAI_API_KEY="your-key-here"

“Rate limit exceeded”

Switch to a different provider
Add rate limiting to config: rate_limit: 10/minute
Use Groq for higher rate limits

”Tool not found”

Install required tool dependencies:

pip install hermes-agent[all-tools]
# or
npm install -g @hermes/agent-tools

Context too long

Switch to a model with larger context window
Use summarize: true in config
Clear conversation: hermes --reset

Best Practices

Start with specific prompts - Clear instructions yield better results
Use file mode for complex tasks - Write requirements in a .md file
Enable auto-confirm carefully - Only in trusted environments
Set iteration limits - Prevent runaway tasks with max_iterations
Use sub-agents for parallel work - Faster completion of multi-part tasks