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🤖 AI Agents

What Is Hermes Agent? The AI That Does the Work, Not Just Talks About It

A chatbot answers questions. An agent checks your disk, fixes the file that broke your build, and schedules tomorrow's report before you ask. Here's how Hermes Agent works, in plain language.

Beginner8 min read

What you'll be able to do by the end

  • Explain what an AI agent is to a colleague using one sentence
  • Name three jobs where an agent beats a plain chatbot
  • Know what makes Hermes different from other AI agents
  • Decide if Hermes fits your daily work before installing anything

Before you start

  • None — this article assumes zero prior experience with AI agents

Most people’s entire experience of “AI” is a chat box: you type, it types back, you copy somewhere. Useful — but passive. Ask it to do something in the real world and it hands you instructions instead of results.

An AI agent flips that around. Instead of telling you how to rename two hundred files, it renames them. Instead of explaining why your build broke, it finds the broken line, fixes it, and re-runs the build to prove it. That shift — from telling to doing — is the whole idea, and it matters more than any feature list.

What exactly is an AI agent?

An AI agent is a program built on a language model plus tools. The model does the thinking; the tools do the touching. When you give it a goal, it plans steps, calls tools — a terminal, file operations, web search, a browser — reads each result, corrects course when something fails, and only reports back when there’s a result worth reporting.

Three properties define the category:

It acts, not just answers. The output isn’t only text for you to apply; it’s a completed change you can verify.

It works in loops, not single turns. Search fails? It retries another query. Test errors? It reads the error and tries again — without you shepherding each step.

It finishes. A chat session drifts wherever the conversation goes; an agent has a definition of done and drives toward it.

What is Hermes Agent?

Hermes Agent is an open-source agent framework by Nous Research. In practice that means four things:

One agent, many surfaces. The same agent core runs in your terminal (CLI), a native desktop app, a web dashboard, and messaging platforms — Telegram, Discord, Slack, WhatsApp, Signal, Email, iMessage, Matrix, Microsoft Teams and more — with full tool access from all of them. Start a task on your laptop’s terminal and continue it from your phone through Telegram.

Provider choice. Hermes works with essentially every major AI provider — OpenRouter, Anthropic, OpenAI, Google, DeepSeek, xAI, local models and dozens more — so no vendor lock-in. Switching models mid-workflow doesn’t reset your work.

Skills and memory. Hermes saves reusable procedures as skills that load in future sessions, and keeps persistent memory of your preferences and environment between conversations.

Open source. MIT-licensed, code public at github.com/NousResearch/hermes-agent. Auditable rather than trust-me.

Real things beginners actually do with it

Concrete examples beat abstract definitions:

  • Document triage: point it at a folder of PDFs — invoices, reports, papers — and get summaries, extracted tables, or a clean index.
  • Fix my project: paste an error message; the agent inspects the codebase, locates the cause, applies a fix, and runs the tests to confirm.
  • Scheduled monitoring: check a page or price daily and send you a short summary on Telegram — set up in one sentence, no scripting.
  • File cleanup: sort downloads by type and age, dedupe folders, archive old projects.
  • Inbox drafting: turn a messy thread into a short reply draft in your tone.

None require programming. Each is one sentence of instruction plus review of the result.

Hermes vs a normal chatbot

Normal chatbot Hermes Agent
Output Text you must apply yourself Completed actions + explanation
Tools Limited, prebuilt, cloud-side Terminal, files, browser, search, scheduler
Memory Per-conversation Persistent across sessions
Where it runs Vendor’s website/app Your terminal, desktop, phone via messaging apps
While you’re away Nothing Works on schedule, reports results

A chatbot is still excellent for quick questions and drafting. But the moment a task involves your files, your machine, or your schedule, the gap between describing work and doing it becomes the whole game.

Where to go next

If this made sense, the series continues in order: Hermes Agent for Beginners shows how an agent thinks and gives you first commands; How to Set Up Hermes Desktop gets it installed properly; Connect Hermes Agent to Telegram puts it in your pocket; and Hermes Skills, Models & Automation turns it into scheduled, reusable workflows.

For broader context, see How to Use Claude and How to Use ChatGPT — the chatbots Hermes complements.

Steps

  1. Step 1: Start with the definition

    An **AI agent** is software that takes a goal and carries it out itself: it decides which steps are needed, runs them with tools on your computer or online, checks its own results, and comes back when the job is done. You describe the outcome; it handles the sequence.

    Note: A useful test: if you have to babysit each step, it's a chatbot. If you state the goal once and get the finished result, it's an agent.

  2. Step 2: See where a chatbot stops

    Ask ChatGPT to 'clean up my downloads folder'. It will write you instructions. An agent actually opens the terminal, lists the files, moves or deletes them, and shows you the result. The chatbot's output ends at text; the agent's output ends at a changed system.

    Note: Chatbots produce advice. Agents produce effects. That difference is the entire category.

  3. Step 3: Learn the loop agents run

    Every agent works roughly the same way: read the request → plan steps → call tools (terminal, files, web search, browser) → inspect each result → adjust → deliver. Hermes follows this same loop, showing each tool call as it happens, so you always see what it is doing to your system.

    Note: When an agent surprises you, scroll up: every step it took is visible in the transcript.

  4. Step 4: Meet Hermes specifically

    Hermes Agent is an open-source AI agent from Nous Research. One agent core runs everywhere you work: a command-line interface (CLI), a native desktop app, a web dashboard, and messaging apps such as Telegram, Discord, Slack, WhatsApp, Signal, Email, iMessage, Matrix and Microsoft Teams — with full tool access from any of those surfaces.

    Note: Open source means the code is public at github.com/NousResearch/hermes-agent — anyone can audit what the agent actually does.

  5. Step 5: Check the beginner use cases

    Realistic first uses: summarize a folder of PDFs into notes; find and fix the error in a project; monitor prices or news and report changes; clean and organize files; draft replies from an inbox; back up a folder on a schedule; answer questions about your own documents. None of these need programming knowledge.

    Note: Pick one repetitive task from your own week and hold it in mind as you read the rest of this series.

  6. Step 6: Compare it honestly with a chatbot

    A chatbot is faster to start and fine for writing and Q&A. An agent needs a little setup but then works while you do something else. They overlap on text work; they differ completely on anything that requires touching your files, running commands, or acting while you're away.

    Note: You don't choose sides — most people keep both. The agent handles execution; the chatbot remains a scratchpad for quick questions.

❓ Frequently asked questions

Is Hermes Agent free?

The Hermes Agent software itself is free and open source under the MIT license. Running it needs access to an AI model: either a subscription login such as Nous Portal, or a pay-per-token API key from providers like OpenRouter, Anthropic, OpenAI or Google, or a local model on your own hardware. Costs come from the model usage, not the agent.

Do I need to know how to code?

No. You talk to Hermes in normal language. It writes and runs any commands it needs itself. Reading basic commands helps you follow along, but thousands of non-programmers run agents productively.

Is it safe to give an agent access to my computer?

It is safe when configured carefully. Hermes asks for approval before potentially dangerous actions, and you decide which tools are enabled and who may talk to it. Start narrow: few permissions, no secrets in reach, and watch what it does. Read our Telegram security section for the practical checklist.

How is this different from ChatGPT with plugins?

Plugins extend a chat inside someone else's cloud with limited, prebuilt actions. An agent runs on your machine with general-purpose tools — terminal, files, scheduler — and completes multi-step work across your actual programs and data. Different depth, different responsibility.

Which operating systems does Hermes support?

Linux, macOS, Windows (native and via WSL2), and even Android through Termux. The desktop app covers Windows, macOS and Linux.