Hermes Agent CN Desktop: review, pricing, security and alternatives

What Hermes Agent CN Desktop does

Hermes Agent CN Desktop belongs to the personal assistants family: general-purpose agents, often self-hosted and driven from a messaging app, that act for you on your files, accounts and services. On our grid it ranks #30 of the 46 projects of this family listed in the directory.

You use it from: desktop app and messaging (Telegram, Slack, WhatsApp…). Usable models: local models (Ollama, llama.cpp, vLLM…) and any OpenAI-compatible model. It can run on your own machine or server.

Who is Hermes Agent CN Desktop for?

It targets individuals and freelancers who want an assistant able to act for them day to day, often from a messaging app. Typical tasks people give it:

• sort e-mail and draft replies
• manage a calendar and reminders
• look up information and summarise it
• run small recurring tasks

It is a good candidate if you want to talk to it from your usual messaging app, without opening another app, your data must stay on your machines, and you want the option of a local model, with no API fees.

Access and human control

According to its documentation, Hermes Agent CN Desktop can:

• run commands in a terminal
• read and edit files
• read and send messages

By default it asks for your confirmation before sensitive actions (command, send, delete). Keep that setting, at least at first: full-auto mode saves time but removes the last safeguard.

Hermes Agent CN Desktop pricing

The code is public but the repository declares no licence: reuse is not formally allowed. The real cost comes from model calls: each loop step sends the whole context back to the model, and a task of several dozen steps can cost far more than a single question. The LLM price calculator estimates it for the chosen model.

Getting started with Hermes Agent CN Desktop

1. Install it: the project ships as a Node.js package (install with npm, or run directly with npx). The exact command is in the repository README.
2. Pick the model: an API key from a provider, or a local model if your machine has enough graphics memory (the VRAM calculator tells you).
3. Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
4. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

A personal assistant often combines access to private data, reading outside content and sending messages: the combination that enables data leaks through prompt injection.

Points found for Hermes Agent CN Desktop:

• Supervised sensitive access: it can act on the system, but asks for confirmation by default.
• No licence: legally shaky for company use.

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Project activity and releases

Created on May 21, 2026, the Eynzof/Hermes-CN-Desktop repository has 1,710 stars, 104 forks and 143 open issues, with 947 commits in total. Last change 1 month ago.

Over the last 52 weeks: 634 commits, an average of 12.2 per week.

57 releases in total; 11 in the last twelve months. Latest release: v0.9.0, on September 21, 2026.

Hermes Agent CN Desktop vs other personal assistants

GitHub stars of the best-rated open-source projects in the personal assistants family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.

Hermes Agent CN Desktop and other personal assistants at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

How we rated it

Score: 62/100, computed only from public, verifiable data, with no subjective testing or partnership:

• Adoption 15/40: 1,710 stars on a log scale (40 points from about 200,000).
• Activity 27/30: last commit 1 month ago, 11 releases in six months, 634 commits in a year.
• Framework 20/30: licence, default human approval, self-hosting, model choice and documentation site.

The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.