Hermes Agent vs OpenClaw: Choosing a Local AI Agent

What is the difference between Hermes Agent and OpenClaw

Hermes Agent is a terminal agent from Nous Research with a built-in learning loop. It stores selected facts between sessions, creates procedural skills and can work through the CLI or a single messaging gateway. Its logic is built around a single agent that accumulates context and reuses successful procedures.

OpenClaw is a self-hosted Gateway that connects an AI agent to chat services, the Web Control UI, and mobile nodes. The Gateway manages sessions, routing, and channels. It suits an assistant that receives messages from a phone or several messaging apps and must remain available after the terminal closes.

There is no universal winner here. If a task lives in a terminal and needs to gradually turn into a repeatable procedure, look first at Hermes Agent. If a task starts with a message in the messenger and goes through several channels or separate sessions, the OpenClaw architecture is closer to it.

What environment and installation are needed

Requirements are changing quickly, so the commands below have been verified against official sources on August 3, 2026.

Hermes Agent

The official installer supports Linux, macOS, WSL2 and Termux:

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

For native Windows, the current repository has a PowerShell installer:

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

After installation, check your environment and open the setup wizard:

hermes doctor
hermes setup

The Hermes installer manages its Python environment and additional dependencies. You should not install a random Python package into the system interpreter in advance: first let the official installer complete its work and look at the result hermes doctor.

OpenClaw

Current OpenClaw documentation recommends Node 26; also lists supported Node releases 22.22.3+, 24.15+ and 25.9+. The version must be checked before installation:

node --version
npm install -g openclaw@latest
openclaw onboard --install-daemon
openclaw dashboard

The configuration is stored in ~/.openclaw/openclaw.json, and the local Control UI opens at http://127.0.0.1:18789/ by default. Do not publish this interface on the Internet without separately setting up access and security checks.

How to compare tools, memory and integrations

A list of functions doesn't help much without a specific task. For the first choice, four questions are enough.

Where the work begins

Hermes Agent is launched naturally from the project directory: you open hermes, issue the tools and continue the dialogue in the TUI. A Messaging gateway is needed when the same agent needs access from chat.

In OpenClaw, the entry point is the Gateway. It receives messages, selects a session and forwards them to the agent. The CLI remains useful for configuration and diagnostics, but day-to-day work may be done entirely through the Web Control UI or channel.

How accumulated context is stored

In Hermes Agent, the memory consists of compact MEMORY.md and USER.md into ~/.hermes/memories/. They are loaded when the session starts. Procedures are stored separately as skills in ~/.hermes/skills/. This separation is useful when facts need to be kept short and a long sequence of actions needs to be loaded only upon request.

OpenClaw associates memory with agent workspace and Gateway sessions. For several agents, you can separate workspace, tool policy and routes. This is useful for different channels or roles, but increases the cost of a configuration error: the message must end up in the correct session with the correct rights.

What integrations are constantly needed

Both projects can work with instant messengers. OpenClaw puts channels at the center of the architecture: one Gateway serves multiple channel plugins and WebChat. In Hermes Agent, channels complement the main terminal process. If you only need Telegram for rare commands, both options are fine. If you are designing routing between multiple channels and agents, check out OpenClaw first.

Do you need automatic skill updates?

Hermes Agent can create and improve skills after complex tasks. In the current configuration, you can enable write confirmation so that the change does not go into future sessions without review. In OpenClaw, skills are connected from several levels and are limited by the allowlist for a specific agent. In both cases, the SKILL.md file is capable of changing the agent's behavior, so the source and diff are more important than the number of available skills.

Security risks from local permissions and third-party skills

The local agent inherits the permissions of its process. Grant access to the shell, browser, files, and secrets separately instead of enabling everything for convenience.

For Hermes Agent, leave approvals.mode: smart or use manual confirmation of dangerous commands. The --yolo mode disables these queries and is not suitable for the first check. The official Hermes security page also suggests Docker, Modal and Daytona as isolated terminal backends. Separately, you can enable confirmation of memory and skills recording.

OpenClaw is designed for one trusted operator edge per Gateway. If mutually untrusted users access the same tool-enabled agent, they effectively share its authority. Such groups require separate Gateways and, if possible, different OS users or hosts. OpenClaw documentation on skills explicitly recommends treating third-party skills as untrusted code, reading them before enabling them, and running risky tools in a sandbox.

Before the first real task:

1. Create a separate test directory without .env, SSH keys and working repositories.
2. Disable unnecessary tools and do not enable community skills.
3. Give access only to this directory; for OpenClaw use sandbox with workspaceAccess: "none" or "ro", for Hermes - isolated backend or limited safe root.
4. Connect one API provider and send a short prompt without file operations.
5. Add file writes, browser access, channels, and cron only after that test passes.

How to verify the selected agent via BetterToken

The check must separate the API connection from the agent tools. Get a short text response first, then enable tools.

Hermes Agent

Open the model selector:

hermes model

Select OpenAI or OpenAI Compatible and enter the values from the current BetterToken instructions for Hermes Agent:

• Base URL: https://www.bettertoken.ai/v1
• API Key: own BetterToken API Key
• Model: current Model ID from the model catalog

Close the active session, run hermes again and send a short request without tools. A response without 401, 404, or model not found confirms the underlying connection.

OpenClaw

After onboarding, add credential through the regular auth flow:

openclaw models auth add

In the custom provider, enter the values from the current BetterToken instructions for OpenClaw:

{
  "models": {
    "mode": "merge",
    "providers": {
      "bettertoken": {
        "baseUrl": "https://www.bettertoken.ai/v1",
        "apiKey": "YOUR_API_KEY",
        "api": "openai-responses",
        "models": [
          {
            "id": "YOUR_MODEL_ID",
            "name": "YOUR_MODEL_ID"
          }
        ]
      }
    }
  }
}

Restart Gateway, open a new session and check the model:

openclaw gateway restart
openclaw models status

After a short answer, check the request in the BetterToken Dashboard: model, status, input/output Tokens, and charge. If OpenClaw shows the old route, check the explicit model for main and the agents.defaults.models list, then create a new session with /new.

Do not transfer one config between agents entirely. Both use the OpenAI-compatible API, but the field names, credential storage method, and restart command are different.

How to choose in five minutes

Choose Hermes Agent if:

• the main work is done in the terminal or on a remote backend;
• you want to separate compact memory and procedural skills;
• the agent must gradually retain proven methods of performing tasks;
• messaging gateway is needed as an additional input.

Choose OpenClaw if:

• the main interface will be instant messengers or Web Control UI;
• one Gateway must serve several channels;
• we need separate sessions, workspaces and routing between agents;
• you are ready to separately configure access to Gateway and sandbox for tools.

If both lists are suitable, install them one by one in an isolated test directory. Use the same short prompt, the same model class, and the same tools ban. Compare the number of manual steps, diagnostic clarity, and access boundaries. Without such a test, talking about the “best agent” will remain a comparison of feature lists.

FAQ

Which agent has better long-term memory?

They have different memory models. Hermes Agent stores compact facts and user profiles separately from procedural skills, and also supports searching through past sessions. OpenClaw associates context and memory with agent workspace and Gateway sessions. The choice depends on whether you need a single agent with an accumulation of procedures or several isolated routes.

Can Hermes Agent and OpenClaw be used on Windows?

Yes. Hermes Agent has a native PowerShell installer and a path via WSL2. OpenClaw supports Windows, including PowerShell installer and WSL2 Gateway. Before installation, check the current requirements: they change faster than comparison articles.

Can skill be trusted after checking the marketplace?

Marketplace verification reduces risk, but does not turn a third-party skill into trusted code. Read SKILL.md and related scripts, check the requested binaries, network calls and secrets, then run in sandbox with minimal workspace access.

Does BetterToken support both agents directly?

The BetterToken Docs have separate up-to-date instructions for Hermes Agent and OpenClaw. These are external projects; BetterToken provides API access and is not responsible for their installation, channels, skills or local permissions.