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.
A private place to save your most precious notes, images, quotes and highlights. Enhanced with AI to help you remember without wasting time on categorizing & organizing.
The IC-AnnoMI repository contains source code and a synthetic dataset generated through in-context zero-shot LLM prompting for mental health and therapeutic counselling. IC-AnnoMI is a project that generates contextual MI dialogues using large language models (LLMs). The project contains source code and a synthetic dataset generated through zero-shot prompts, aiming to address the data scarcity and inherent bias problems in mental health and therapeutic consultation.
Ortomi is a charming robot companion designed to provide companionship, comfort, and emotional support, similar to a real pet. It features unique personalities, a range of moods and emotions, and interactive responses to touch and gestures.