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· MyAgentive Team · 3 min read

Running MyAgentive on a Raspberry Pi: 15 Minutes to Your Own AI Server

How MyAgentive deployed itself on a Raspberry Pi through natural conversation, turning a tiny computer into a powerful personal AI server.

raspberry-pi self-deployment tutorial

Here is something remarkable: MyAgentive can deploy itself onto a Raspberry Pi. And it does this through natural conversation, not complex scripts or manual setup.

The Challenge

Running an AI agent on a Raspberry Pi presents unique challenges:

  • Limited resources: The Pi has far less CPU and RAM than a typical laptop
  • ARM architecture: Many tools are built for x86, not ARM
  • Network configuration: You need the Pi accessible from your main devices
  • Service management: The agent should start automatically and stay running

Normally, this would require hours of configuration, troubleshooting dependency issues, and carefully following documentation.

The Conversation

Instead, we had a simple conversation with MyAgentive running on our laptop:

“I want to set up MyAgentive on my Raspberry Pi. Can you help me deploy yourself there?”

MyAgentive asked a few questions:

  • What is the Pi’s IP address?
  • Do we have SSH access?
  • What OS is running on the Pi?

Then it got to work.

What MyAgentive Did

Over the next 15 minutes, the agent:

  1. Connected to the Pi via SSH
  2. Installed Bun (the JavaScript runtime MyAgentive uses)
  3. Downloaded the MyAgentive binary for ARM64
  4. Created the configuration directory and migrated settings
  5. Set up a systemd service for automatic startup
  6. Configured Tailscale for secure remote access
  7. Tested the deployment to confirm everything worked

All through natural conversation. We could ask questions, request changes, or have the agent explain what it was doing at any step.

The Result

Now we have a Raspberry Pi running MyAgentive 24/7. It is accessible from anywhere via Tailscale, responds to Telegram messages, and handles tasks even when our laptop is closed.

Use cases for a Pi-based MyAgentive:

  • Always-on assistant: Never miss a Telegram message
  • Home automation hub: Control smart devices through natural language
  • Server monitoring: Check on your infrastructure from anywhere
  • Personal API gateway: Have the agent handle requests while you sleep

Performance Considerations

Running on a Pi does have trade-offs:

  • Response times are slightly slower than on a laptop
  • Complex tasks (like image generation) may time out
  • Memory-intensive operations should be offloaded to cloud services

But for most day-to-day tasks like managing emails, posting to social media, or running shell commands, the Pi handles everything smoothly.

Deploying to Your Own Pi

Requirements:

  • Raspberry Pi 4 or newer (8GB RAM recommended)
  • Raspberry Pi OS (64-bit)
  • SSH access enabled
  • Network connectivity

If you already have MyAgentive running somewhere, just ask it:

“Deploy yourself to my Raspberry Pi at [IP address]”

If you are starting fresh, first install MyAgentive on the Pi directly:

curl -fsSL https://myagentive.ai/install | bash

Then run myagentive and follow the setup wizard.

Cloud Deployment Too

The same approach works for cloud servers. We have deployed MyAgentive to:

  • AWS EC2 instances
  • Google Cloud VMs
  • DigitalOcean droplets
  • Any server with SSH access

Just tell the agent where to deploy itself, and it handles the rest.

Have you deployed MyAgentive somewhere interesting? Share your setup in our Telegram channel!