Hermes Agent : le guide francophone complet

Hermes Agent : le guide francophone complet

Cette page fait partie du guide pratique francophone consacré à Hermes Agent. Elle répond à l'intention de recherche : découvrir et comprendre Hermes Agent.

Le contenu s'appuie sur la documentation officielle Hermes Agent associée à cette page. L'objectif n'est pas de remplacer la documentation de Nous Research, mais de fournir une lecture claire en français, structurée pour aller vite, avec un maillage logique vers les pages complémentaires du même site.

À retenir

• Sujet principal : hermes agent.
• Type de page : home.
• Cluster : accueil.
• Source canonique : documentation officielle Hermes Agent.
• Aucun lien vers l'autre domaine n'est utilisé dans cette page.

Par où commencer

Hermes Agent se découvre en trois étapes : installer l'agent, choisir un provider de modèle, puis activer les outils et plateformes nécessaires à votre usage. Pour un premier test, commencez par l'installation, puis enchaînez avec le quickstart et la configuration.

Le site est organisé pour éviter les pages isolées : chaque guide renvoie vers son hub, vers les prérequis, puis vers l'étape suivante. Vous pouvez donc suivre un parcours progressif ou naviguer par besoin précis.

Base officielle

This guide gets you from zero to a working Hermes setup that survives real use. Install, choose a provider, verify a working chat, and know exactly what to do when something breaks.

Prefer to watch?

Onchain AI Garage put together a Masterclass walkthrough of installation, setup, and basic commands — a good companion to this page if you'd rather follow along on video. For more, see the full Hermes Agent Tutorials & Use Cases playlist.

Who this is for

• Brand new and want the shortest path to a working setup
• Switching providers and don't want to lose time to config mistakes
• Setting up Hermes for a team, bot, or always-on workflow
• Tired of "it installed, but it still does nothing"

The fastest path

Pick the row that matches your goal:

• Goal — Do this first — Then do this
• I just want Hermes working on my machine — hermes setup — Run a real chat and verify it responds
• I already know my provider — hermes model — Save the config, then start chatting
• I want a bot or always-on setup — hermes gateway setup after CLI works — Connect Telegram, Discord, Slack, or another platform
• I want a local or self-hosted model — hermes model → custom endpoint — Verify the endpoint, model name, and context length
• I want multi-provider fallback — hermes model first — Add routing and fallback only after the base chat works

Rule of thumb: if Hermes cannot complete a normal chat, do not add more features yet. Get one clean conversation working first, then layer on gateway, cron, skills, voice, or routing.

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1. Install Hermes Agent

With the Hermes Desktop installer on macOS or Windows (recommended)

To easily install the command-line and desktop applications, download the Hermes Desktop installer from our website and run it.

Without Hermes Desktop:

For a command-line only install without Hermes Desktop, run:

Linux / macOS / WSL2 / Android (Termux)

curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash

Windows (native)

Run in powershell:

iex (irm https://hermes-agent.nousresearch.com/install.ps1)

If you're installing on a phone, see the dedicated Termux guide for the tested manual path, supported extras, and current Android-specific limitations.

After it finishes, reload your shell:

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

For detailed installation options, prerequisites, and troubleshooting, see the Installation guide.

2. Choose a Provider

The single most important setup step. Use hermes model to walk through the choice interactively:

hermes model

One subscription covers 300+ models plus the Tool Gateway (web search, image generation, TTS, cloud browser). On a fresh install:

hermes setup --portal

That logs you in, sets Nous as your provider, and turns on the Tool Gateway in one command.

On a fresh install, hermes setup offers three modes:

• Quick Setup (Nous Portal) — free OAuth login, no API keys; sets up a model plus the Tool Gateway tools. The recommended fast path.
• Full Setup — walk through every provider, tool, and option yourself (bring your own keys).
• Blank Slate — everything starts off except the bare minimum needed to run an agent: provider & model, the File Operations toolset, and the Terminal toolset. No web, browser, code execution, vision, memory, delegation, cron, skills, plugins, or MCP servers — and compression, checkpoints, smart routing, and memory capture are all disabled. After the minimal baseline is applied, you choose one of two paths: start with everything disabled (finish now with the minimal agent), or walk through all configurations (opt in to tools, skills, plugins, MCP, and messaging). Pick this when you want a minimal, fully-controlled agent and intend to enable only exactly what you need.

Blank Slate writes an explicit platform_toolsets.cli list plus agent.disabled_toolsets, so nothing you didn't choose ever loads — not even after hermes update. Re-enable anything later with hermes tools, seed skills with hermes skills opt-in --sync, or tune settings with hermes setup agent.

Good defaults:

• 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 — Max plan + extra usage credits (OAuth), or API key for pay-per-token — hermes model → OAuth login (requires Max + extra credits), 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 (also accepts Z_AI_API_KEY)
• Kimi / Moonshot — Moonshot-hosted coding and chat models — Set KIMI_API_KEY (or the Kimi-Coding-specific KIMI_CODING_API_KEY)
• Kimi / Moonshot China — China-region Moonshot endpoint — Set KIMI_CN_API_KEY
• Arcee AI — Trinity models — Set ARCEEAI_API_KEY
• GMI Cloud — Multi-model direct API — Set GMI_API_KEY
• MiniMax (OAuth) — MiniMax frontier model via browser OAuth — no API key needed (model name in hermes_cli/models.py may change between releases) — hermes model → MiniMax (OAuth)
• 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 (Qwen Coding Plan also accepts ALIBABA_CODING_PLAN_API_KEY)
• Hugging Face — 20+ open models via unified router (Qwen, DeepSeek, Kimi, etc.) — Set HF_TOKEN
• AWS Bedrock — Claude, Nova, Llama, DeepSeek via native Converse API — IAM role or aws configure (guide)
• Azure Foundry — Azure AI Foundry-hosted models — Set AZURE_FOUNDRY_API_KEY + AZURE_FOUNDRY_BASE_URL
• Google AI Studio — Gemini models via direct API — Set GOOGLE_API_KEY / GEMINI_API_KEY
• xAI — Grok models via direct API — Set XAI_API_KEY
• xAI Grok OAuth — SuperGrok / Premium+ subscription, no API key needed — hermes model → xAI Grok OAuth
• NovitaAI — Multi-model API gateway — Set NOVITA_API_KEY
• StepFun — Step Plan models — Set STEPFUN_API_KEY
• Xiaomi MiMo — Xiaomi-hosted models — Set XIAOMI_API_KEY
• Tencent TokenHub — Tencent-hosted models — Set TOKENHUB_API_KEY
• Ollama Cloud — Managed Ollama-hosted models — Set OLLAMA_API_KEY
• LM Studio — Local desktop app exposing an OpenAI-compatible API — Set LM_API_KEY (and LM_BASE_URL if non-default)
• Qwen OAuth — Qwen Portal browser OAuth — no API key needed — hermes model → Qwen OAuth
• 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)
• 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)
• Custom Endpoint — VLLM, SGLang, Ollama, or any OpenAI-compatible API — Set base URL + API key

For most first-time users: choose a provider, accept the defaults unless you know why you're changing them. The full provider catalog with env vars and setup steps lives on the Providers page.

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).

You can switch providers at any time with hermes model — no lock-in. For a full list of all supported providers and setup details, see AI Providers.

How settings are stored

Hermes separates secrets from normal config:

• Secrets and tokens → ~/.hermes/.env
• Non-secret settings → ~/.hermes/config.yaml

The easiest way to set values correctly is through the CLI: