Getting Agent Teams ready…

Agent Teams

Describe the job. Get an AI worker you can actually use.

Tell us what should happen, what the agent must never do, and when it should ask you. We create the setup files, host the agent, and give you a working chat.

Plans start at $29/month. Cancel anytime. Model usage is billed separately only when you use AI Agent Store model keys.

Start here

What job should the agent handle?

Describe the result, the information it can use, what it must never do, and when it should ask you. We turn that into editable rules and a ready-to-launch agent.

No setup files needed

Works without your laptop

The agent runs on managed infrastructure, so closing your computer does not end scheduled work.

Remembers after restarts

Instructions, memory, files, chat history, and versions stay separate from the replaceable runtime.

Reaches you where you work

Start in the native harness UI, then receive reports and blockers through WhatsApp, Telegram, or Slack.

You stay in control

Review activity, stop long work, edit rules, create backups, and restore a previous version.

Live Agent Desktop included

Open the agent’s computer when a human step is faster.

The owner can securely open the agent’s browser desktop, terminal, and workspace. Hermes or OpenClaw still owns reasoning, tools, schedules, memory, and subagents; Agent Teams only provides the isolated access path.

Complete a visual handoff

Handle sign-in, MFA, a permission prompt, CAPTCHA, or an unfamiliar website step yourself when appropriate.

Use the agent’s real workspace

Upload a file, inspect outputs, or pre-open authenticated tabs in the same persistent environment the agent uses.

Repair a local blocker

Inspect the terminal or desktop when a package, browser, or local workflow needs a quick human intervention.

Model access that fits your budget

Bring the AI access you already have.

Keep model choice inside native Hermes or OpenClaw. Agent Teams supplies hosting and billing visibility without routing the agent's reasoning or tools.

Compare model access options

Choose how model usage is paid

Use Platform Credits, your provider API keys, or supported customer-owned subscriptions for each native agent.

Connect more than one account

Where supported, name accounts and let Hermes or OpenClaw own priority and eligible quota-aware failover.

Switch and update without rebuilding

Change the model for new sessions, or checkpoint and update the native runtime from the Agent Teams controls.

What gets in the way

  • Blank configuration files make a simple business idea feel like a developer project.
  • Generic chatbots do not know your rules, escalation points, or recurring schedule.
  • Users should not need to choose Docker settings before seeing one useful result.

What you get instead

  • A guided prompt creates editable instructions, memory, tools, and safety rules.
  • You can review every generated file before or after launch.
  • The native harness UI works before you connect any external account.

How it works

1

Describe the work in normal language.

2

Review the generated rules.

3

Launch and test the agent on a real task.

Tell us what delivers value

Which live Agent Teams capability matters most to you?

Compare nine capabilities available today: multi-agent Chat Wall, voice, Live Agent Desktop, persistent memory, team coordination, reusable setups, messaging and secure keys, model access, and runtime updates.

Vote on current features

Start with one real job

What should your first agent handle this week?

Describe one recurring task, the information it can use, and when it must ask you. We create the setup and keep the agent available after your browser closes.