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CAMEL - The First And The Best Multi-Agent Framework. Finding The Scaling Law Of Agents
- CAMEL is a community dedicated to exploring the scaling laws of agents, providing insights into their behaviors and risks.
- Key design principles of the CAMEL framework include evolvability, scalability, and statefulness for efficient multi-agent systems.
- Benefits of using CAMEL for research include simulating large-scale agent systems, dynamic communication, and support for various agent types.
- CAMEL offers features like data generation, tool integration, and support for different benchmarks in multi-agent systems research.
- Researchers can build data generation tools, automate tasks, and simulate worlds using CAMEL, enhancing multi-agent system capabilities.
- The installation process for CAMEL is straightforward, with examples like creating a ChatAgent for various tasks using the framework.
- CAMEL Tech Stack includes modules for agents, agent societies, data generation, models, tools, benchmarks, interpreters, and more.
- Research projects at CAMEL focus on the behaviors, capabilities, and risks of large-scale agents, inviting collaboration and impactful research.
- Tools like models documentation, cookbooks for specific functionalities, and synthetic datasets support researchers in exploring multi-agent systems.
- The community-driven initiative of CAMEL welcomes contributors and supporters, offering guidelines for code contributions and community engagement.
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