OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation - GitHub - camel-ai/owl
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.
Gedetailleerde introductie
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.
MeerAI
Supanote
An AI-driven note-taking assistant that turns voice and text into searchable, organized records.
electronic media datasets - Mental Health Datasets
An evolving list of electronic media datasets used to model mental health status. This repository curates a variety of datasets from different sources, including social media platforms, online forums, and academic studies, to support research in mental health modeling and AI applications.
National Study of Mental Health and Wellbeing, 2020-2022
The National Study of Mental Health and Wellbeing provides key statistics on mental health issues in Australia, including the prevalence of mental disorders, consultations with health professionals, and the use of mental health-related medications. The study covers a wide range of mental health conditions and offers insights into the impact of mental health on individuals and society.