Uploaded February 2026 | Updated September 2026, 5 hours ago
▸▸ Build AI Products → skool.com/ai-architects
▸▸ Get ThePopeBot → github.com/stephengpope/thepopebot
-----
I built a fully autonomous AI agent that runs 24/7 on your own computer using completely free local models—no expensive API fees or cloud subscriptions required.
In this video, I'll give you a live demo of the new web chat interface, walk you through the one-step install process, and explain the full architecture behind it. You'll see how to set up your agent's heartbeat for scheduled tasks, manage jobs through the swarm control center, and monitor everything with built-in notifications and approval workflows.
I'll also break down how Docker, GitHub Actions, and ngrok work together to make this system secure, scalable, and completely transparent. Whether you run it locally or deploy to the cloud, you'll have full control over what your agent does. By the end, you'll have your own free AI agent up and running.
-----
▸▸ FREE AI Automation / Coding Community → bit.ly/44A3Vdn
00:00 - Introduction
00:32 - Web Chat Interface Demo
01:41 - Heartbeat & Autonomous Tasks
02:05 - Chat Demo with Local LLM
02:49 - Swarm & Job Monitoring
03:13 - Change Approval via GitHub
04:22 - API Access & Postman Demo
05:21 - Auto Upgrade Feature
06:04 - Installation Walkthrough
08:03 - Setting Up the LLM
09:17 - Configuring Ngrok
11:27 - First Launch & Login
12:00 - Telegram Setup
13:12 - Docker Architecture Explained
15:04 - GitHub Runners & Scalability
17:00 - Git Tracking & Transparency
18:14 - Auto Merge & Settings
19:31 - Roadmap & Future Plans
20:24 - Community & Wrap Up
▸▸ Build AI Products → skool.com/ai-architects
▸▸ Get ThePopeBot → github.com/stephengpope/thepopebot
-----
I built a fully autonomous AI agent that runs 24/7 on your own computer using completely free local models—no expensive API fees or cloud subscriptions required.
In this video, I'll give you a live demo of the new web chat interface, walk you through the one-step install process, and explain the full architecture behind it. You'll see how to set up your agent's heartbeat for scheduled tasks, manage jobs through the swarm control center, and monitor everything with built-in notifications and approval workflows.
I'll also break down how Docker, GitHub Actions, and ngrok work together to make this system secure, scalable, and completely transparent. Whether you run it locally or deploy to the cloud, you'll have full control over what your agent does. By the end, you'll have your own free AI agent up and running.
-----
▸▸ FREE AI Automation / Coding Community → bit.ly/44A3Vdn
00:00 - Introduction
00:32 - Web Chat Interface Demo
01:41 - Heartbeat & Autonomous Tasks
02:05 - Chat Demo with Local LLM
02:49 - Swarm & Job Monitoring
03:13 - Change Approval via GitHub
04:22 - API Access & Postman Demo
05:21 - Auto Upgrade Feature
06:04 - Installation Walkthrough
08:03 - Setting Up the LLM
09:17 - Configuring Ngrok
11:27 - First Launch & Login
12:00 - Telegram Setup
13:12 - Docker Architecture Explained
15:04 - GitHub Runners & Scalability
17:00 - Git Tracking & Transparency
18:14 - Auto Merge & Settings
19:31 - Roadmap & Future Plans
20:24 - Community & Wrap Up
