AI Agents
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The open-source platform for building and running autonomous AI agents, hosted or self-hosted
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View guide →A dev-first framework for building and running autonomous AI agents.
SuperAGI is an open-source ai agents project by TransformerOptimus (TransformerOptimus/SuperAGI on GitHub). It has 17,700 GitHub stars and 2,223 forks, is released under the MIT license, and was last updated on GitHub on 22 January 2025.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Goal-driven plan-and-execute agents.
Built for developers, with GUIs and toolkits.
Run and monitor multiple agents.
Extend agents with plugins and tools.
Permissive license.
A landmark of the 2023 agent wave.
Download the source and move into the project folder.
git clone https://github.com/TransformerOptimus/SuperAGI.git
cd SuperAGICreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyThe project lives at TransformerOptimus/SuperAGI and has attracted 2223 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
The framework itself is free - but you will need a model to drive it, which usually means your own API key or a local model.
The repo's last push was January 2025, so assume maintenance has stopped. For active development, look at currently-pushed frameworks in this collection instead.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
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Free and open — grab the source, star the repo, and start creating.