OpenManus is an open-source project that allows users to achieve Manus-like functionality without an invite code. It provides a simple implementation for creating and customizing AI agents.
OpenManus is an open-source implementation of Manus, built by the MetaGPT contributors. It allows you to create and customize your own AI agents without needing an invite code. The project was developed within 3 hours by the team members @mannaandpoem, @XiangJinyu, @MoshiQAQ, and @didiforgithub. OpenManus supports various LLM APIs and provides configuration options for different models.
The DAIC-WOZ dataset contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post-traumatic stress disorder. This repository provides code for extracting question-level features from the DAIC-WOZ dataset, which can be used for multimodal analysis of depression levels.
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.
Lingxin (SoulChat) is a psychological health large model fine-tuned with millions of Chinese long-text instructions and multi-turn empathetic dialogue data in the field of psychological counseling.