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SuperAGI

Open-source autonomous AI agent framework to build, manage and run useful agents

★ 17,593 GitHub MIT ai-agentsautonomous-agentsagent-frameworkllmagent-toolkitpythonopen-sourcemulti-agent AI Agents

Overview

SuperAGI is a dev-first open-source autonomous AI agent framework that enables developers to build, manage, and run useful autonomous agents quickly and reliably. With 17,500+ GitHub stars, it provides a graphical user interface for interacting with agents, a marketplace for toolkits, multiple vector database support, performance telemetry, optimized token usage, and agent memory storage. It supports concurrent agent execution, extends agent capabilities through toolkits (Twitter, Slack, Jira, GitHub, Google Search, Web Scraper, and more), and includes workflows for automating tasks using ReAct LLM with predefined steps.

Requirements

Min vCPU
2
Min RAM
2048 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
4096 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  superagi:
    image: transformeroptimus/superagi:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/superagi:/data

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Guides & articles

Getting Started with SuperAGI: Docker Setup and Your First Autonomous Agent

Step-by-step guide to installing SuperAGI with Docker Compose, configuring your first agent, and running autonomous AI agents on your own infrastructure.

Jun 28, 2026

SuperAGI: Build and Deploy Autonomous AI Agents with Ease

A comprehensive guide to SuperAGI — the open-source autonomous AI agent framework with 17,500+ GitHub stars, GUI, toolkit marketplace, and multi-vector memory.

Jun 28, 2026