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How to use Hermes Agent: what you can do with it

What is Hermes Agent? Hermes Agent is a self-improving AI agent from Nous Research. It creates skills from experience, improves them while using them, keeps agent-curated memory, searches its own past conversations, and can run on a small VPS, a GPU box or serverless infrastructure. You talk to it from a full terminal UI or from Telegram, Discord, Slack, WhatsApp and Signal through one gateway, and it can run scheduled jobs in plain language. It works with Nous Portal, OpenRouter, OpenAI or your own endpoint.

How do I use it? Install on macOS, Linux or WSL2 with curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash; then Reload your shell, then start chatting with hermes; choose your LLM provider and model with hermes model. Full steps below.

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What do you want to do?

3 use cases

Quick start with Hermes Agent

  1. Check you have what it needs: macOS, Linux, WSL2 or Windows; An account or API key for a model provider (Nous Portal, OpenRouter, OpenAI or a custom endpoint); Optional: bot tokens for the messaging apps you connect.
  2. Open NousResearch/hermes-agent on GitHub and read the README and license.
  3. Install on macOS, Linux or WSL2 with curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
  4. Reload your shell, then start chatting with hermes
  5. Choose your LLM provider and model with hermes model
  6. Turn tools on or off with hermes tools, or run the whole wizard with hermes setup

These steps come from our top use case, Install Hermes Agent and switch models without code, which also has a copy-paste agent prompt.

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About this repo

  • Who it is forDevelopers and power users who want a long-running agent that remembers them, learns reusable skills and works on a server while they message it from their phone.
  • Why it is hot257k stars, talked about in 2 AI sources we track
  • LanguagePython
  • Sourcegithub.com/NousResearch/hermes-agent · Back to Hot repos

Requirements

  • macOS, Linux, WSL2 or Windows
  • An account or API key for a model provider (Nous Portal, OpenRouter, OpenAI or a custom endpoint)
  • Optional: bot tokens for the messaging apps you connect

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Questions about Hermes Agent

What is Hermes Agent?

Hermes Agent is a self-improving AI agent from Nous Research. It creates skills from experience, improves them while using them, keeps agent-curated memory, searches its own past conversations, and can run on a small VPS, a GPU box or serverless infrastructure. You talk to it from a full terminal UI or from Telegram, Discord, Slack, WhatsApp and Signal through one gateway, and it can run scheduled jobs in plain language. It works with Nous Portal, OpenRouter, OpenAI or your own endpoint. It is an open-source project on GitHub: https://github.com/NousResearch/hermes-agent.

How do I use Hermes Agent?

Install on macOS, Linux or WSL2 with curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash; then Reload your shell, then start chatting with hermes; choose your LLM provider and model with hermes model. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Hermes Agent for?

Developers and power users who want a long-running agent that remembers them, learns reusable skills and works on a server while they message it from their phone.

What can I do with Hermes Agent?

3 use cases so far, for example: Install Hermes Agent and switch models without code; Talk to Hermes from Telegram while it works on a server; Schedule a daily report or nightly job in plain language. Each has steps and a copy-paste agent prompt.

What do I need to run Hermes Agent?

macOS, Linux, WSL2 or Windows; An account or API key for a model provider (Nous Portal, OpenRouter, OpenAI or a custom endpoint); Optional: bot tokens for the messaging apps you connect.

What are alternatives to Hermes Agent?

Other hot AI repos in Personal productivity: Cleanyourtv, TV Detox, DigUp, Open WebUI, OpenClaw.

Is Hermes Agent safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.