Running AI Agents on a Mac Mini: A Production Checklist

The Mac Mini is becoming the default hardware for indie hackers and small teams running local AI agents. It's quiet, powerful, efficient, and sits in a closet drawing 15 watts while running your entire operation.

But there's a gap between "it works on my desk" and "it runs reliably in production." This checklist covers everything you need.

1. Secure Inbound Traffic

Your agent receives webhooks from the internet. Every inbound request is a potential attack vector.

Do:

• Use Tryb's schema validation firewall to inspect payloads before they reach your agent
• Set max payload sizes (default 1MB is usually enough)
• Enable critical-severity alerting for RCE and injection attempts

Don't:

• Expose raw ports to the internet
• Use a tunnel without payload inspection
• Trust webhook signatures alone (they verify sender, not content)

2. Handle Offline Gracefully

Your agent will go offline. macOS updates, power flickers, code deploys, network hiccups. The question isn't if, it's when.

Do:

• Use Tryb's persistent event queue (24h TTL)
• Configure your webhook providers to point at your Tryb subdomain, not directly at your machine
• Set up queue drain notifications so you know when events are buffering

Don't:

• Rely on webhook provider retries (they're too slow)
• Assume your agent is always connected
• Lose events silently

3. Enable Remote Management

You won't always be near your Mac Mini. Mobile handover is essential.

Do:

• Set up Telegram or iOS Push for human-in-the-loop approvals
• Configure notification rules for critical events
• Test the approval flow end-to-end before going live

Don't:

• Require SSH access to manage your agent
• Leave approval requests only in the web dashboard
• Block your agent on decisions you could make from your phone

4. Monitor Everything

Visibility into your agent's behavior is non-negotiable.

Do:

• Use the Tryb dashboard to monitor tunnel health, latency, and request volume
• Set up alerts for latency spikes, disconnect events, and firewall blocks
• Review the webhook inspector regularly for failed deliveries

Don't:

• Run blind without logging
• Ignore degraded tunnel states
• Skip the firewall threat log

5. Plan for Scaling

Today it's one Mac Mini and one agent. Tomorrow it might be three agents handling different workflows.

Do:

• Use separate subdomains for each agent (agent-dave.tryb.dev, agent-luna.tryb.dev)
• Configure per-agent firewall rules
• Consider self-hosting the relay for full control

Don't:

• Run multiple agents on a single tunnel
• Share API keys between agents
• Ignore bandwidth limits on static IPs

The Stack

Internet -> Tryb Relay (firewall + queue) -> Mac Mini -> Your Agent
                |                                          |
          Dashboard + Mobile                    Python + Tools

That's the production stack. Tryb sits between the internet and your machine, handling security, reliability, and remote management. Your agent handles the business logic.

Start at tryb.dev. It takes 5 minutes to go from "Python script on localhost" to "production agent with a firewall and a phone in your pocket."

Related

• Self-host a tunnel relay server
• Webhook security for AI agents
• Mobile handover pattern