OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework. OWL achieves 58.18 average score on GAIA benchmark and ranks #1 among open-source frameworks.
Our vision is to revolutionize how AI agents collaborate to solve real-world tasks. By leveraging dynamic agent interactions, OWL enables more natural, efficient, and robust task automation across diverse domains. As of March 7, 2025, we open-sourced the codebase of the OWL project.
Build web3 mental well-being platform!
Reassurance AI offers an interactive chatbot named Sai for emotional support, guidance, and advice. It allows users to capture thoughts in a personal journal and log emotions over time with privacy protection.
DeepSeek-V3 is a powerful Mixture-of-Experts (MoE) language model with 671 billion total parameters and 37 billion activated parameters per token. It achieves efficient inference and cost-effective training through innovative load balancing strategies and multi-token prediction training objectives. The model is pre-trained on 14.8 trillion diverse and high-quality tokens, and it outperforms other open-source models in various benchmarks.