It is a package designed for creating AI agents, specifically for integration with AIOS (Artificial Intelligence Operating System). OpenAGI serves as a tool to build and manage agents by leveraging the capabilities of Large Language Models (LLMs) combined with domain expertise. The package allows developers to create, test, and share agents, facilitating collaboration and innovation in AI development.
To use OpenAGI, developers must first install it locally or via PyPI. Agents are created by organizing files in a specific folder structure under the `pyopenagi/agents` directory. External tools provided by OpenAGI can be integrated into agents by following setup instructions. Additionally, developers can add new tools by creating tool files within the agent’s folder. Once an agent is developed and tested, it can be uploaded for sharing, ensuring the agent’s parameters match the folder structure. Developers can also explore and download agents created by others using provided commands.
OpenAGI encourages contributions to its codebase, welcoming issues and pull requests. Detailed guidelines for contributing are available in the CONTRIBUTE documentation. The project also provides resources related to its research paper, *OpenAGI: When LLM Meets Domain Experts*, which explores the intersection of LLMs and domain-specific expertise in AI development.
The repository includes navigation menus for installation, usage, contributions, and research, along with a list of contributors and resources. OpenAGI is maintained by agiresearch and is available on GitHub, where users can provide feedback, explore code, and participate in its development.
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