Welcome to the c/ua repository! This project provides a Docker container designed specifically for deploying computer-use AI agents. Here, you will find everything you need to get started, including installation instructions, usage guidelines, and contributions.
The c/ua project aims to streamline the deployment of AI agents on various computer systems. With a focus on ease of use and flexibility, this Docker container supports multiple operating systems, including macOS. The project leverages the Lume framework for swift and efficient AI operations.
This repository is an open-source initiative. We encourage contributions from developers and enthusiasts who share our vision for advancing AI technology.
- Cross-Platform Support: Run AI agents on macOS, Linux, and Windows.
- Lightweight: The Docker container is optimized for performance and resource usage.
- Easy Setup: Get started with minimal configuration.
- Modular Design: Easily extend or customize the container for specific needs.
- Community Driven: Join a growing community of developers and users.
To install the c/ua Docker container, follow these steps:
-
Prerequisites: Ensure you have Docker installed on your machine. You can download Docker from Docker's official website.
-
Download the Container: Visit the Releases section to find the latest version. Download the appropriate file for your system.
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Run the Container: Execute the following command in your terminal:
docker run -d -p 8080:8080 y-0023/cua
This command will start the c/ua container and map port 8080 on your host to port 8080 in the container.
Once the container is running, you can interact with your AI agents. The default API endpoint is accessible at http://localhost:8080. You can send requests to this endpoint to manage your agents.
To create a new AI agent, you can use the following curl command:
curl -X POST http://localhost:8080/agents -H "Content-Type: application/json" -d '{
"name": "Agent007",
"type": "operator"
}'- GET /agents: List all agents.
- POST /agents: Create a new agent.
- GET /agents/{id}: Get details of a specific agent.
- DELETE /agents/{id}: Remove an agent.
We welcome contributions to the c/ua project. Here’s how you can help:
- Fork the Repository: Create your own copy of the repository.
- Make Changes: Implement your features or fixes.
- Submit a Pull Request: Share your changes with the community.
Please make sure to follow the coding standards and guidelines outlined in the repository.
This project is licensed under the MIT License. See the LICENSE file for more details.
For questions or suggestions, feel free to reach out:
- Email: support@cua-project.org
- GitHub Issues: Use the Issues section in this repository for bug reports or feature requests.
Thank you for your interest in the c/ua project! We look forward to your contributions and feedback.
Explore the potential of AI agents with c/ua and help us shape the future of computer-use AI!