OpenClaw vs Hermes: Which Should Run Your Google Ads?

There is no general answer to “OpenClaw or Hermes.” They are both agent runtimes, both open, and the right one depends on work we have never watched you do.

What we can answer is narrower and, if you are here because you want an agent touching your ad accounts, more useful: what changes about connecting a Google Ads MCP server when you move between them? We maintain one — AdWhiz is a hosted MCP server for Google Ads and Meta Ads — and both agents connect to it. The differences below are the ones that showed up in that connection, not a scorecard of the projects as a whole.

This is where the two diverge most, and it is the difference that decides how your credentials are stored.

Hermes uses OAuth. It identifies itself with a Client ID Metadata Document where a server supports one, and falls back to Dynamic Client Registration where it does not. AdWhiz publishes a registration endpoint, so Hermes takes the second path automatically. The practical effect: you put a URL in your config, set auth: oauth, approve a consent screen once, and there is never an API key in a file. The token refreshes itself.

OpenClaw goes through a skill install. One command configures the server, and it prompts for an API key. That key then lives in the agent’s configuration. It is faster to set up and easier to reason about; it is also a long-lived secret sitting on disk, which is a real thing to weigh if the machine is shared or the deployment is long-running.

Neither is wrong. But if your ad account is the thing on the other end of the credential, a token that expires and refreshes on its own is a meaningfully different risk profile from a static key.

Ad accounts are unusual among the things people wire agents into, because a mistake spends money in real time and cannot be rolled back. A bad pause is recoverable. A bad budget is not.

Both agents can be configured to approve tool calls automatically, and both are commonly run that way — that is much of the point of an autonomous agent. So the honest framing is not “which one asks permission” but where you put the guard rail.

Our answer is: not in the agent. Put it at the server. Connect only the ad accounts you want reachable, use dry-run mode to inspect calls before they execute, and rely on a mutation audit log to attribute every write after the fact. Those hold no matter which agent is driving, and they keep working when you change your mind about which one that is.

Both agents read the server’s tool list when they connect, so neither needs a per-tool declaration in its config. With AdWhiz that means over a hundred Google Ads and Meta Ads tools become available from a single entry.

On transport there is less to choose between them than the docs suggest. AdWhiz serves Streamable HTTP only — no SSE endpoint, no stdio option — because it runs on our servers rather than yours. Both agents speak it. The practical consequence is the same in both cases: nothing to install, nothing to keep updated, and no local process to supervise.

If you are choosing purely on how an ads MCP server behaves:

• Hermes, if you would rather not have an API key on disk, or the deployment is long-running enough that re-authorising by hand would become a chore.
• OpenClaw, if you want the shortest path from nothing to a working connection and a static key is acceptable in your environment.

That is a smaller difference than the volume of comparison content on this pair implies, and it should be — they are solving the same problem. Most of what will actually decide it for you is elsewhere: the model you want behind the agent, how the project is governed, and whether the rest of your tooling already assumes one of them.

Setup guides for both, with the exact config each expects: Hermes and OpenClaw. If you are weighing a third, there is also Grok, which takes the static-key route like OpenClaw but through a connector UI rather than a skill install.

Searching for this pair is noisier than it should be. “Hermes” is also a parcel carrier and a fashion house, and both outrank the agent project on the bare term. If you are looking for the Nous Research project specifically, adding nousresearch or agent github to the query gets you there faster.