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SuperAGI

github.com/TransformerOptimus/SuperAGI AI Agent Frameworks Open-source projectOpen source

SuperAGI provides tools for developers to build, manage, and run autonomous AI agent systems.

Visit SuperAGI 24 alternatives
github.com/TransformerOptimus/SuperAGI
SuperAGI homepage screenshot

About SuperAGI

SuperAGI is an open-source, developer-first framework for building, managing, and running autonomous AI agents. It supports running concurrent agents and extending them with toolkits that let agents interact with external systems and third-party plugins. The project is distributed as a GitHub repository with Python as its primary language.

Setup depends on the route chosen. The hosted SuperAGI Cloud option requires logging in with a GitHub account and adding your own model provider API key. Local installation requires cloning the repository and running it with Docker, and a separate GPU configuration is provided for use with local language models. A one-click deployment to DigitalOcean is also listed. Pricing is not stated on the source page.

Key features

  • Create and run autonomous AI agents, including multiple concurrent agents
  • Add toolkits from a marketplace to extend agent workflows
  • Graphical user interface for accessing agents
  • Action console for giving agents input and permissions
  • Connection to multiple vector databases to support agent performance
  • Performance telemetry and agent memory storage
Best for: Developers who want an open-source framework to build, manage, and run autonomous AI agents.
Good for
  • Published as open source, with the code and license available in the repository
  • Offers a hosted cloud option for trying agents without local setup
  • Supports one-click deployment to DigitalOcean
Watch out for
  • Local installation requires Docker and cloning the repository
  • Cloud use requires adding your own model provider API key

SuperAGI at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026
open sourcepythonartificial intelligenceframeworks

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SuperAGI FAQ

How can I try SuperAGI without setting up the system locally?
The source describes SuperAGI Cloud. You log in with a GitHub account, add an API key under "Model Providers" in your account settings, and can then start running agents.
What is needed to install SuperAGI locally?
You clone the repository, create a config.yaml file from config_template.yaml, and install and run Docker. The application is then run with Docker Compose and opened at http://localhost:3000.
Can SuperAGI be used with local language models?
The source provides a separate Docker Compose file for using SuperAGI with local LLMs on a system with a GPU.
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Listing maintained by Chris McClure and the WebIndexly editors · Updated Oct 12, 2026 · How we rank