AP
Agentic Playbook
AutoGPT·Beginner·Last tested: 2026-03·~5 min read

AutoGPT

AutoGPT is a platform for creating, deploying, and managing continuous AI agents that automate complex workflows. It provides both self-hosted and cloud-hosted options for building autonomous agents.

Key Features

  • Agent Builder: Low-code interface for designing custom AI agents using connected blocks
  • Workflow Management: Visual workflow builder for automation processes
  • Ready-to-Use Agents: Pre-configured agents for immediate deployment
  • Marketplace: Library of pre-built agents and blocks
  • Deployment Controls: Full lifecycle management from testing to production
  • Monitoring & Analytics: Performance tracking and optimization insights

Installation

For macOS/Linux:

curl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh

For Windows (PowerShell):

powershell -c "iwr https://setup.agpt.co/install.bat -o install.bat; ./install.bat"

Manual Requirements

  • Docker Engine 20.10.0+
  • Docker Compose 2.0.0+
  • Node.js 16.x+
  • 8GB RAM minimum (16GB recommended)
  • 10GB free storage
Info

The platform requires Docker, Node.js, and Git for self-hosting. Cloud-hosted beta is available via waitlist.

Basic Usage

After installation, access the web interface to:

  1. Create an Agent: Use the visual block builder to connect actions
  2. Configure Triggers: Set up external events or schedules
  3. Deploy: Launch your agent for continuous operation
  4. Monitor: Track performance and optimize workflows

Example agents include Reddit trend video generators and YouTube quote extractors for social media automation.

Notable Details

  • Language: Python
  • Community: 182K+ GitHub stars with active Discord community
  • License: Mixed - Polyform Shield for platform code, MIT for classic components
  • Documentation: Available at docs.agpt.co
  • Repository: GitHub
Warning

The platform code uses Polyform Shield License while classic AutoGPT components remain MIT licensed.