by JosefAlbers · Agent Tool · ★ 78
Roy Roy is a lightweight alternative to for developing advanced multi-agent systems using language models. It aims to simplify and democratize the development of emergent collective intelligence. Features Model Agnostic: Use any LLM, no external APIs required. Defaults to a 4-bit quantized wizard-coder-python model for efficiency. Modular and Composable: Roy decomposes agent interactions into reusable building blocks - templating, retrieving, generating, executing. Transparent and Customizable: Every method has a clear purpose. Easily swap out components or add new capabilities.
| Stars | 78 |
| Forks | 4 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 61.9617641595344/100 |
| Last Updated | 2023-10-25 |
| Created | 2023-10-03 |
| Est. Tokens | ~25k |
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Roy is Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.. It is categorized as a Agent Tool with 78 GitHub stars.
Roy is primarily written in Jupyter Notebook. It covers topics such as agent, agentgpt, autogen.
You can find installation instructions and usage details in the Roy GitHub repository at github.com/JosefAlbers/Roy. The project has 78 stars and 4 forks, indicating an active community.