CAMEL-AI.org is the 1st LLM multi-agent framework and an open-source community dedicated to finding the scaling law of agents.
Data Generation
Generates high-quality reasoning paths through advanced algorithms.
Task Automation
Enables multiple agents to collaboratively solve tasks efficiently.
World Simulation
Mimics social interactions of up to one million agents for studying complex social phenomena.
Open Source Community
Encourages contributions from researchers and developers to enhance infrastructure and implement new ideas.
CAMEL-AI is an open-source community focused on discovering the scaling laws of agents, facilitating research in data generation, world simulation, and task automation. It integrates a variety of modules, such as data generation systems that improve reasoning capabilities and frameworks for automating tasks using multiple agents. This platform is invaluable for researchers and developers seeking to explore the frontiers of multi-agent systems and their applications in real-world scenarios.
Includes features for Chain-of-Thought data generation, multi-hop question-answer generation, and a scalable social media simulation environment.
Building advanced AI-driven community managers.
Simulating social media interactions to study user behavior.
Automating complex tasks with collaborative agent frameworks.
CAMEL-AI is a multi-agent framework designed to explore the scaling laws of agents for various applications.
You can contribute by joining the community, participating in projects, or improving existing features on GitHub.
You can create various agents including chat agents, reasoning agents, and multi-hop question-answer generators.
