Kunal Pai commited on
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Update README.md to clarify project architecture and remove duplicate benchmarking note

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  1. README.md +6 -2
README.md CHANGED
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  This project provides a framework for creating and managing AI agents and tools. It includes features for managing resource and expense budgets, loading tools and agents, and interacting with various language models.
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  ## Directory Structure
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  * **src/**: Contains the source code for the project.
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  ## Acknowledgements
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  We would like to thank Hugging Face, Groq and Lambda Labs for sponsoring this project and providing the necessary resources for development.
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- NOTE: Benchmarking efforts of the HASHIRU architecture can be found in [HASHIRUBench](https://github.com/HASHIRU-AI/HASHIRUBench).
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  ## Contributing
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  Contributions are welcome! Please submit pull requests with bug fixes, new features, or improvements to the documentation.
 
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  This project provides a framework for creating and managing AI agents and tools. It includes features for managing resource and expense budgets, loading tools and agents, and interacting with various language models.
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+ The architecture consists of a hierarchical system where a CEO agent manages a set of employee agents and tools. Both agents and tools can be autonomously created, invoked, and deleted by the CEO. Agents are associated with reclaimable costs (if local) and non-reclaimable costs (if cloud-based).
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+ The project is designed to be modular and extensible, allowing users to integrate their own tools and agents. It supports multiple language model integrations, including Ollama, Gemini, Groq, and Lambda Labs.
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+ NOTE: Benchmarking efforts of the HASHIRU architecture can be found in [HASHIRUBench](https://github.com/HASHIRU-AI/HASHIRUBench).
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  ## Directory Structure
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  * **src/**: Contains the source code for the project.
 
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  ## Acknowledgements
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  We would like to thank Hugging Face, Groq and Lambda Labs for sponsoring this project and providing the necessary resources for development.
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  ## Contributing
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  Contributions are welcome! Please submit pull requests with bug fixes, new features, or improvements to the documentation.