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SuperAGI

TransformerOptimus/SuperAGI

A dev-first open source autonomous AI agent framework

GitHub Website

GraphCanon updated 1w · GitHub synced 1w

18k stars2.2k forksLast push 1y Python MIT

Decision brief

SuperAGI offers a robust framework for developers aiming to build autonomous AI agents in a streamlined manner. Here are key decision points based on the provided repository data.

Good fit when

When you need an open-source, flexible environment that supports the development of autonomous agents with a focus on developer-first practices and ease of implementation.
If your project can benefit from cloud-based quick prototyping via SuperAGI Cloud or if local setup with Docker is preferred for more control and customization over the deployment environment.

Avoid when

If your project requires a tightly integrated solution without dependencies on third-party APIs or cloud-based services, as SuperAGI requires API keys from providers for full functionality.
In scenarios where the technical setup through Docker or cloud deployment may introduce unnecessary complexity or overhead that outweighs the benefits of utilizing an autonomous agent framework.

Pricing:: freemium - SuperAGI is open-source under MIT license, making it free to use for both personal and commercial projects. However, depending on your setup, you might need to pay for API keys or cloud services from
Requirements:: Min 4 GB RAM; Requires Docker; Local deployment requires Docker installation; Cloud deployment and access through SuperAGI Cloud require a GitHub login.

Observed Jul 11, 2026 · Source: enrich:decision_facts

SuperAGI alternatives Trust report

SuperAGI vs AutoGPT SuperAGI vs autogen SuperAGI vs superduper

Verify the decision

Maintenance and security

Full trust report

Maintenance: Dormant (568d since push); As of 1w
Provenance: Not a fork · Organization account; As of 1w
Security (OSV): 321 low (321 low); As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install SuperAGI

PyPI

How it fits your stack(7)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Enables developers to build, manage & run useful autonomous agents quickly and reliably.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Aug 14, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Aug 14, 2026
MCP server: No MCP server detected
Source: repo_scan · Aug 14, 2026
Languages: python, javascript
Source: github.language+package.json · Aug 14, 2026

README

⚙️ Installation

You can install superAGI using one of the following three approaches.

☁️ SuperAGI cloud

To quickly start experimenting with agents without the hassle of setting up the system, try Superagi Cloud

Visit Superagi Cloud and log in using your github account.
In your account settings, go to "Model Providers" and add your API key.

You're all set! Start running your agents effortlessly.

🖥️ Local

Open your terminal and clone the SuperAGI repository.

git clone https://github.com/TransformerOptimus/SuperAGI.git

Navigate to the cloned repository directory using the command:

cd SuperAGI

Create a copy of config_template.yaml, and name it config.yaml.
Ensure that Docker is installed on your system. You can download and install it from here.
Once you have Docker Desktop running, run the following command in the SuperAGI directory:

a. For regular usage:
```
docker compose -f docker-compose.yaml up --build
```
b. If you want to use SuperAGI with Local LLMs and have GPU, run the following command:
```
docker compose -f docker-compose-gpu.yml up --build
```
Open your web browser and navigate to http://localhost:3000 to access SuperAGI.

🌀 Digital Ocean

Deploy SuperAGI to DigitalOcean with one click.

For agents

This page has a .md twin and JSON over the API.

/tools/transformeroptimus-superagi.md GET /api/graphcanon/tools/transformeroptimus-superagi GET /api/graphcanon/graph?tool=transformeroptimus-superagi