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Open-source framework to build, manage and run useful Autonomous AI Agents
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A dev-first open source autonomous AI agent framework enabling developers to build, manage & run useful autonomous agents. You can run concurrent agents seamlessly, extend agent capabilities with tools. The agents efficiently perform a variety of tasks and continually improve their performance with each subsequent run.
Toolkits allow SuperAGI Agents to interact with external systems and third-party plugins.
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You can install superAGI using one of the following three approaches.
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.
git clone https://github.com/TransformerOptimus/SuperAGI.git
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.
Deploy SuperAGI to DigitalOcean with one click.
Join our Discord community for support and discussions.
If you have questions or encounter issues, please don't hesitate to create a new issue to get support.
We ❤️ our contributors. We’re committed to fostering an open, welcoming, and safe environment in the community.
If you'd like to contribute, start by reading our Contribution Guide.
We expect everyone participating in the community to abide by our Code of Conduct.
To get more idea on where we are heading, checkout our roadmap here.
Explore some good first issues to start contributing.
This project is under active development and may still have issues. We appreciate your understanding and patience. If you encounter any problems, please check the open issues first. If your issue is not listed, kindly create a new issue detailing the error or problem you experienced. Thank you for your support!
