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Agentic Control Plane

How to Set Up a Hermes Autonomous Agent Safely

David Crowe · · 3 min read
hermes governance autonomous-agents guides

Hermes Agent is one of the few harnesses built to run unattended — cron schedules, long autonomous tasks, terminal and browser access, its own skill system. That’s the point of it. It’s also the reason you should not give it an empty leash on day one.

The failure mode with autonomous agents isn’t the model going rogue. It’s mundane: an agent with terminal access and no limits does something you’d never have approved, at 3am, on a machine you weren’t watching, and you find out from the bill or the git history. The fix isn’t to trust the model more. It’s to put identity, policy, and limits in the runtime call path — then let the agent be as autonomous as you decided, not as autonomous as it happens to be.

Hermes makes this unusually clean. Its plugin hooks are synchronous, in-process, and cover every tool — terminal, file, web, browser, vision, cron, custom skills. No partial coverage, no instruction-layer duct tape.

1. Install the governance plugin (2 minutes)

pip install hermes-acp
hermes plugins enable acp
hermes-acp login

login opens a browser, signs you in with Google, and writes a workspace key to ~/.acp/credentials. No account setup beforehand — first login creates your workspace.

Running Hermes on a server or VPS (you probably are — that’s where autonomous agents live)? Create the key in the dashboard instead (cloud.agenticcontrolplane.com → API keys), then on the remote machine:

echo 'gsk_your_key_here' > ~/.acp/credentials && chmod 600 ~/.acp/credentials

Restart hermes. Every tool call now flows through the control plane — logged with identity, evaluated against policy, priced.

2. Verify before you trust

Run one throwaway task and open cloud.agenticcontrolplane.com/activity. You should see rows within seconds: tool name, input preview, decision. If the log is empty, nothing is governed — fix that before granting any autonomy. An ungoverned autonomous agent isn’t a risk you’re accepting; it’s a risk you can’t even see.

3. Set policy before autonomy

The default workspace starts in audit mode: everything logged, nothing blocked. Fine for watching your first runs. Not fine for unattended operation.

In policies, flip to enforce and start from the tier defaults:

  • terminal / file writesask for anything you’d want to see before it happens. With hermes-acp ≥ 0.1.1, ask uses Hermes’s own inline approval prompt — you answer [o]nce / [s]ession / [a]lways / [d]eny in the terminal, mid-run. An always answer is scoped to the specific tool, so approvals never silently widen.
  • network-facing tools — deny the ones the agent’s job doesn’t need. Blast radius is set by what the agent can do, not what you asked it to do.
  • budget — set a per-period spending cap. An autonomous loop that retries a failing call all night is a bill, not an incident report, unless something is counting.

The order matters: policy first, autonomy second. Widening a policy for an agent that earned it takes one click. Narrowing one after an incident is forensics.

4. Schedule it, then read the digest

Once it’s running on cron, you won’t be watching — that’s the point. Two things keep you informed without watching:

  • the daily digest email: yesterday’s spend, runs, denials, and anything worth a look
  • the activity log, when the digest flags something

Between those and inline approvals for the sensitive calls, you get the thing autonomous agents rarely offer: the ability to stop paying attention safely.

What this buys you

Every action attributable to an identity. Denials and approvals at the moment of action, not after. Spend visible per agent, per run, per model. And when the agent does something surprising — they all do eventually — a trace instead of a mystery.

Full install reference: agenticcontrolplane.com/integrations/hermes.

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