Roadmap

We design practical artificial general intelligence.

Our Existing Multi-Agent Framework

CAMEL emerges as the earliest LLM-based multi-agent framework, and is now a generic framework to build and use LLM-based agents for real-world task solving.

Our Current Focus

• System:
  • We are enhancing our agent system infrastructure to enhance seamless cooperation between multiple agents for practical task solving, and to improve the multi-modal memory and retrieval.
• Algorithm:
  • We are developing a new reasoning framework that allows agents to effectively tackle complex problems via different hierarchies. We also focus on efficient training and inference for large foundational models.
• Model:
  • We are interested in designing new foundational architectures for large models that are tailored for agents involved in sequential decision-making tasks. This initiative is about pushing the boundaries of current model capabilities to better accommodate complex agent operations.
• Data:
  • We are implementing automated systems for collecting and annotating high-quality informative data, alongside generating synthetic data. These efforts are intended to enhance the generalization abilities of our models.

Get Involved

We are always happy to work with friends to continuously move forward with our own competitive edges.

For Research Aficionados: New, rigorous and in-depth research takes time and resources. With access to almost unlimited usage of advanced GPU computes and a team of amazing researchers and engineers, we are bold enough to explore the frontier with patience. Whether you would like to join in our on-going project or have new idea to test, feel free to talk to us and see how we may work together.

For Coding Enthusiasts: Whether you want to introduce new features, enhance the infrastructure, improve documentation, asking issues, add more examples, implement state-of-the-art research ideas, or fix bugs, we greatly appreciate your enthusiasm and efforts. Every commit is nontrivial. Get started by checking out our Contributing Guidelines on GitHub.

For Interested Humans: Connect with us on Slack or Discord.