Skip to content
BSWEN
Blog

How to Install Hermes Agent: Step-by-Step Deployment Guide for the Self-Learning AI Framework

Cowrie
Cowrie
Dev @ Bswen

Hermes Agent Installation

I wanted to try Hermes Agent after hearing about its self-learning capabilities. Unlike other AI agents that reset after each session, Hermes remembers your preferences and learns from every interaction. But first, I needed to get it installed.

The Installation Problem

Most AI agent setups I’ve tried involved complex configurations, dependency conflicts, and cryptic error messages. I expected Hermes Agent to be the same.

It wasn’t.

The official installation script handles everything automatically: Python 3.11, Node.js v22, uv, ripgrep, ffmpeg—all the dependencies get installed without manual intervention. The entire process took me about 5 minutes on a fresh Ubuntu system.

Here’s what I learned through trial and error.

Prerequisites: What You Actually Need

Before running the installation script, verify your system meets these requirements:

  • CPU: 2+ cores (most modern systems qualify)
  • Memory: 4GB minimum, 8GB recommended
  • Disk: 10GB+ available space
  • Git: Required to fetch the installation script

Important: If you’re on Windows, you must use WSL2. Native Windows is not supported.

Check if git is installed:

terminal
git --version

If you get “command not found,” install it:

terminal
# Ubuntu/Debian
sudo apt install git


# macOS (usually pre-installed, or use Homebrew)
brew install git

I’m in a region where GitHub access can be slow. If you face similar issues, configure mirrors before installation:

terminal
# Git mirror for faster cloning
git config --global url."https://mirror.ghproxy.com/https://github.com".insteadOf "https://github.com"


# Python pip mirror
pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/


# npm mirror (for Node.js dependencies)
npm config set registry https://mirrors.cloud.tencent.com/npm/ --global

These configurations significantly sped up my installation. Your mileage may vary depending on your location.

Step 1: Run the One-Click Installation Script

The official script does the heavy lifting:

terminal
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

I ran this command and watched the terminal fill with output. The script:

  1. Detected my system architecture (x86_64)
  2. Installed uv (a fast Python package manager)
  3. Installed Python 3.11 in an isolated environment
  4. Installed Node.js v22
  5. Cloned the Hermes Agent repository
  6. Created a virtual environment and installed all Python dependencies
  7. Registered the hermes command globally

The script output was verbose but informative. I could see each step completing successfully.

Step 2: Reload Your Shell Configuration

After the script finished, I tried running hermes --version. Got “command not found.”

This was expected. The script adds the hermes command to your shell configuration file, but you need to reload it:

terminal
# If you use bash
source ~/.bashrc


# If you use zsh (macOS default)
source ~/.zshrc

After reloading, the hermes command worked immediately.

Step 3: Verify the Installation

Run the version check:

terminal
hermes --version

You should see output like:

output
hermes version 0.1.0

If you see this, congratulations—Hermes Agent is installed and ready.

Step 4: Configure Your LLM Provider

Before using Hermes, you need to configure which LLM provider it should use:

terminal
hermes setup

This launches an interactive configuration where you can:

  • Choose your LLM provider (OpenAI, Anthropic, local models, etc.)
  • Enter your API keys
  • Configure model preferences

I chose OpenAI and entered my API key. The setup wizard was straightforward.

Troubleshooting Common Issues

”hermes: command not found” After Installation

If reloading your shell doesn’t work, the installation path might not be in your PATH. Check if ~/.local/bin exists and contains the hermes executable:

terminal
ls -la ~/.local/bin/hermes

If it’s there, add it to your PATH manually:

terminal
echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc

Installation Script Timeout

If the script hangs during download, your network connection to GitHub might be unstable. Try the manual installation approach:

terminal
git clone https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
bash scripts/install.sh

Using the git mirror configuration from earlier helps here too.

Python Version Conflicts

Hermes Agent uses uv to manage an isolated Python environment, so version conflicts are rare. But if you see Python-related errors, verify uv is installed correctly:

terminal
uv --version

If uv is missing or broken, reinstall it:

terminal
curl -LsSf https://astral.sh/uv/install.sh | sh

Why Hermes Agent Matters

After installing Hermes, I understood why people recommend it. The framework has:

  • 40+ built-in tools for file operations, web scraping, code execution
  • Four-layer memory architecture that persists across sessions
  • Skill accumulation that improves with each interaction
  • Self-evolution capabilities through learning and reflection

Unlike tools that reset after each session, Hermes builds a profile of your preferences. The more you use it, the better it understands your workflows.

Summary

Installing Hermes Agent involves:

  1. Ensure git is installed
  2. (Optional) Configure network mirrors for faster downloads
  3. Run the one-click installation script
  4. Reload your shell configuration
  5. Verify with hermes --version
  6. Configure your LLM provider with hermes setup

The entire process takes 3-10 minutes depending on your network speed. The official script handles dependency management automatically, making it one of the smoother AI agent installations I’ve experienced.

If you’re interested in how Hermes Agent differs from other AI agents, it’s worth understanding the architectural philosophy. Most agents use multi-agent parallelism—spawning multiple agents to handle different tasks simultaneously. Hermes takes the opposite approach: a single agent that deepens its understanding over time.

The four-layer memory system (episodic, semantic, procedural, and working memory) allows Hermes to remember not just what you asked, but how you prefer things done. This makes it particularly suited for long-term projects where consistency and accumulated context matter.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!

Comments

Tags: