hermes-agent/website/docs/getting-started/quickstart.md

---
sidebar_position: 1
title: "Quickstart"
description: "Your first conversation with Hermes Agent — from install to chatting in 2 minutes"
---

# Quickstart

This guide walks you through installing Hermes Agent, setting up a provider, and having your first conversation. By the end, you'll know the key features and how to explore further.

## 1. Install Hermes Agent

Run the one-line installer:

```bash
# Linux / macOS / WSL2 / Android (Termux)
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
```

:::tip Android / Termux
If you're installing on a phone, see the dedicated [Termux guide](./termux.md) for the tested manual path, supported extras, and current Android-specific limitations.
:::

:::tip Windows Users
Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) first, then run the command above inside your WSL2 terminal.
:::

After it finishes, reload your shell:

```bash
source ~/.bashrc   # or source ~/.zshrc
```

## 2. Set Up a Provider

The installer configures your LLM provider automatically. To change it later, use one of these commands:

```bash
hermes model       # Choose your LLM provider and model
hermes tools       # Configure which tools are enabled
hermes setup       # Or configure everything at once
```

`hermes model` walks you through selecting an inference provider:

| Provider | What it is | How to set up |
|----------|-----------|---------------|
| **Nous Portal** | Subscription-based, zero-config | OAuth login via `hermes model` |
| **OpenAI Codex** | ChatGPT OAuth, uses Codex models | Device code auth via `hermes model` |
| **Anthropic** | Claude models directly (Pro/Max or API key) | `hermes model` with Claude Code auth, or an Anthropic API key |
| **OpenRouter** | Multi-provider routing across many models | Enter your API key |
| **Z.AI** | GLM / Zhipu-hosted models | Set `GLM_API_KEY` / `ZAI_API_KEY` |
| **Kimi / Moonshot** | Moonshot-hosted coding and chat models | Set `KIMI_API_KEY` |
| **Kimi / Moonshot China** | China-region Moonshot endpoint | Set `KIMI_CN_API_KEY` |
| **Arcee AI** | Trinity models | Set `ARCEEAI_API_KEY` |
| **Xiaomi MiMo** | Xiaomi MiMo models via [platform.xiaomimimo.com](https://platform.xiaomimimo.com) | Set `XIAOMI_API_KEY` |
| **AWS Bedrock** | Anthropic Claude, Amazon Nova, DeepSeek v3.2, and Meta Llama via AWS | Standard boto3 auth (`AWS_PROFILE` or `AWS_ACCESS_KEY_ID` + `AWS_REGION`) |
| **Qwen Portal (OAuth)** | Qwen 3.5 / Qwen-Coder models via Alibaba's consumer Qwen Portal | OAuth via `hermes model` (optional: `HERMES_QWEN_BASE_URL`) |
| **MiniMax** | International MiniMax endpoint | Set `MINIMAX_API_KEY` |
| **MiniMax China** | China-region MiniMax endpoint | Set `MINIMAX_CN_API_KEY` |
| **Alibaba Cloud** | Qwen models via DashScope | Set `DASHSCOPE_API_KEY` |
| **Hugging Face** | 20+ open models via unified router (Qwen, DeepSeek, Kimi, etc.) | Set `HF_TOKEN` |
| **Kilo Code** | KiloCode-hosted models | Set `KILOCODE_API_KEY` |
| **OpenCode Zen** | Pay-as-you-go access to curated models | Set `OPENCODE_ZEN_API_KEY` |
| **OpenCode Go** | $10/month subscription for open models | Set `OPENCODE_GO_API_KEY` |
| **DeepSeek** | Direct DeepSeek API access | Set `DEEPSEEK_API_KEY` |
| **NVIDIA NIM** | Nemotron models via build.nvidia.com or local NIM | Set `NVIDIA_API_KEY` (optional: `NVIDIA_BASE_URL`) |
| **Ollama Cloud** | Managed Ollama catalog without local GPU | Set `OLLAMA_API_KEY` (or pick **Ollama Cloud** in `hermes model`) |
| **Google Gemini (OAuth)** | Gemini via Cloud Code Assist — free and paid tiers | OAuth via `hermes model` (optional: `HERMES_GEMINI_PROJECT_ID` for paid tiers) |
| **xAI (Grok)** | Grok 4 models via Responses API + prompt caching | Set `XAI_API_KEY` (alias: `grok`) |
| **GitHub Copilot** | GitHub Copilot subscription (GPT-5.x, Claude, Gemini, etc.) | OAuth via `hermes model`, or `COPILOT_GITHUB_TOKEN` / `GH_TOKEN` |
| **GitHub Copilot ACP** | Copilot ACP agent backend (spawns local `copilot` CLI) | `hermes model` (requires `copilot` CLI + `copilot login`) |
| **Vercel AI Gateway** | Vercel AI Gateway routing | Set `AI_GATEWAY_API_KEY` |
| **Custom Endpoint** | VLLM, SGLang, Ollama, or any OpenAI-compatible API | Set base URL + API key |

:::caution Minimum context: 64K tokens
Hermes Agent requires a model with at least **64,000 tokens** of context. Models with smaller windows cannot maintain enough working memory for multi-step tool-calling workflows and will be rejected at startup. Most hosted models (Claude, GPT, Gemini, Qwen, DeepSeek) meet this easily. If you're running a local model, set its context size to at least 64K (e.g. `--ctx-size 65536` for llama.cpp or `-c 65536` for Ollama).
:::

:::tip
You can switch providers at any time with `hermes model` — no code changes, no lock-in. When configuring a custom endpoint, Hermes will prompt for the context window size and auto-detect it when possible. See [Context Length Detection](../integrations/providers.md#context-length-detection) for details.
:::

## 3. Start Chatting

```bash
hermes            # classic CLI
hermes --tui      # modern TUI (recommended)
```

That's it! You'll see a welcome banner with your model, available tools, and skills. Type a message and press Enter.

:::tip Pick your interface
Hermes ships with two terminal interfaces: the classic `prompt_toolkit` CLI and a newer [TUI](../user-guide/tui.md) with modal overlays, mouse selection, and non-blocking input. Both share the same sessions, slash commands, and config — try each with `hermes` vs `hermes --tui`.
:::

```
❯ What can you help me with?
```

The agent has access to tools for web search, file operations, terminal commands, and more — all out of the box.

## 4. Try Key Features

### Ask it to use the terminal

```
❯ What's my disk usage? Show the top 5 largest directories.
```

The agent will run terminal commands on your behalf and show you the results.

### Use slash commands

Type `/` to see an autocomplete dropdown of all commands:

| Command | What it does |
|---------|-------------|
| `/help` | Show all available commands |
| `/tools` | List available tools |
| `/model` | Switch models interactively |
| `/personality pirate` | Try a fun personality |
| `/save` | Save the conversation |

### Multi-line input

Press `Alt+Enter` or `Ctrl+J` to add a new line. Great for pasting code or writing detailed prompts.

### Interrupt the agent

If the agent is taking too long, just type a new message and press Enter — it interrupts the current task and switches to your new instructions. `Ctrl+C` also works.

### Resume a session

When you exit, hermes prints a resume command:

```bash
hermes --continue    # Resume the most recent session
hermes -c            # Short form
```

## 5. Explore Further

Here are some things to try next:

### Set up a sandboxed terminal

For safety, run the agent in a Docker container or on a remote server:

```bash
hermes config set terminal.backend docker    # Docker isolation
hermes config set terminal.backend ssh       # Remote server
```

### Connect messaging platforms

Chat with Hermes from your phone or other surfaces via Telegram, Discord, Slack, WhatsApp, Signal, Email, or Home Assistant:

```bash
hermes gateway setup    # Interactive platform configuration
```

### Add voice mode

Want microphone input in the CLI or spoken replies in messaging?

```bash
pip install "hermes-agent[voice]"
# Includes faster-whisper for free local speech-to-text
```

Then start Hermes and enable it inside the CLI:

```text
/voice on
```

Press `Ctrl+B` to record, or use `/voice tts` to have Hermes speak its replies. See [Voice Mode](../user-guide/features/voice-mode.md) for the full setup across CLI, Telegram, Discord, and Discord voice channels.

### Schedule automated tasks

```
❯ Every morning at 9am, check Hacker News for AI news and send me a summary on Telegram.
```

The agent will set up a cron job that runs automatically via the gateway.

### Browse and install skills

```bash
hermes skills search kubernetes
hermes skills search react --source skills-sh
hermes skills search https://mintlify.com/docs --source well-known
hermes skills install openai/skills/k8s
hermes skills install official/security/1password
hermes skills install skills-sh/vercel-labs/json-render/json-render-react --force
```

Tips:
- Use `--source skills-sh` to search the public `skills.sh` directory.
- Use `--source well-known` with a docs/site URL to discover skills from `/.well-known/skills/index.json`.
- Use `--force` only after reviewing a third-party skill. It can override non-dangerous policy blocks, but not a `dangerous` scan verdict.

Or use the `/skills` slash command inside chat.

### Use Hermes inside an editor via ACP

Hermes can also run as an ACP server for ACP-compatible editors like VS Code, Zed, and JetBrains:

```bash
pip install -e '.[acp]'
hermes acp
```

See [ACP Editor Integration](../user-guide/features/acp.md) for setup details.

### Try MCP servers

Connect to external tools via the Model Context Protocol:

```yaml
# Add to ~/.hermes/config.yaml
mcp_servers:
  github:
    command: npx
    args: ["-y", "@modelcontextprotocol/server-github"]
    env:
      GITHUB_PERSONAL_ACCESS_TOKEN: "ghp_xxx"
```

---

## Quick Reference

| Command | Description |
|---------|-------------|
| `hermes` | Start chatting |
| `hermes model` | Choose your LLM provider and model |
| `hermes tools` | Configure which tools are enabled per platform |
| `hermes setup` | Full setup wizard (configures everything at once) |
| `hermes doctor` | Diagnose issues |
| `hermes update` | Update to latest version |
| `hermes gateway` | Start the messaging gateway |
| `hermes --continue` | Resume last session |

## Next Steps

- **[CLI Guide](../user-guide/cli.md)** — Master the terminal interface
- **[Configuration](../user-guide/configuration.md)** — Customize your setup
- **[Messaging Gateway](../user-guide/messaging/index.md)** — Connect Telegram, Discord, Slack, WhatsApp, Signal, Email, or Home Assistant
- **[Tools & Toolsets](../user-guide/features/tools.md)** — Explore available capabilities