OS-Copilot - A general-purpose operating system and AI agent open-sourced by Shanghai AI Lab.
OS-Copilot is an open-source operating system intelligent assistant project aimed at building a general-purpose computer intelligent agent capable of interacting with various elements within the operating system, such as networks, code terminals, files, multimedia, and third-party applications. Its core is FRI...
What is OS-Copilot?
OS-Copilot is an open-source operating system intelligent assistant project designed to build general-purpose computer agents capable of interacting with various elements within the operating system, such as networks, code terminals, files, multimedia, and third-party applications. At its core is the FRIDAY agent, which can automatically perform tasks and continuously improve through self-learning. It supports multimodal interaction, including text, voice, and vision, and runs on Windows, macOS, and Linux. Users can interact with FRIDAY through simple command-line operations or a user-friendly front-end interface. OS-Copilot supports multitasking, handling multiple tasks simultaneously and providing real-time feedback.
Main functions of OS-Copilot
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Multimodal interactionIt supports multiple interaction methods such as text, voice, and vision, allowing users to choose different interaction modes according to their needs.
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Task automationIt can automatically perform various tasks in the operating system, such as file operations, code execution, and network access, thereby improving work efficiency.
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Self-learning and improvementBy accumulating knowledge through trial and error, and continuously optimizing its own performance, it achieves self-improvement.
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Cross-platform supportIt is compatible with multiple operating systems such as Windows, macOS, and Linux, and has wide applicability.
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MultitaskingIt can handle multiple tasks simultaneously and provide real-time feedback on results, meeting the needs of use in complex scenarios.
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Custom tool developmentIt provides tools and API interfaces to facilitate developers in developing and deploying new functional modules according to their own needs.
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User-friendly interfaceEquipped with an intuitive front-end interface, users can control the intelligent agent more conveniently, enhancing the user experience.
How to use OS-Copilot
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Cloning project repository:pass
git clone https://github.com/OS-Copilot/OS-Copilot.gitThe command clones the project code to the local machine. -
Setting up the Python environment: Create and activate the Python environment, for example using
conda create -n oscopilot_env python=3.10 -yandconda activate oscopilot_env. -
Install dependenciesEnter the project directory and run:
pip install -e .Install the dependencies required for the project. -
Configure API key: In the project root directory
.envConfigure API keys such as OpenAI in the file. -
Start FRIDAYStart using the FRIDAY agent via command line or front-end interface.
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User GuideRefer to the tutorials provided in the project to gradually master the use of OS-Copilot, from quick start to advanced feature development.
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Participate in the communityJoin the Discord or Twitter community for real-time support and to share your experiences.
OS-Copilot project address
- Project official websitehttps://os-copilot.github.io/
- Github repository: https://github.com/OS-Copilot/OS-Copilot
- arXiv technical paper: https://arxiv.org/pdf/2402.07456
Application scenarios of OS-Copilot
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Automated office tasksIt can handle daily office tasks such as file operations, data analysis, and document editing, thereby improving work efficiency.
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Code development assistance: Execute code, debug programs, and generate code snippets in the code terminal to help developers complete development tasks quickly.
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Multimedia ManagementIt can manage and edit multimedia files such as images, audio, and video, enabling automated processing.
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Network Information RetrievalIt automatically searches for online information, organizes relevant content, and provides users with real-time online data support.
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Third-party application integrationIt can interact with various third-party applications (such as Excel, browsers, etc.) to achieve cross-application automation.
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Education and TrainingAs a teaching assistant, it helps students complete learning tasks such as programming exercises and data analysis.