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 Substance Abuse and Mental Health Data Archive (SAMHDA) provides a comprehensive collection of data sets related to mental health and substance use. It includes ongoing studies, population surveys, treatment facility surveys, and client-level data, offering valuable insights for researchers and policymakers.
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.
Psych-101 is a dataset of natural language transcripts from human psychological experiments, comprising trial-by-trial data from 160 experiments and 60,092 participants, making 10,681,650 choices. It provides valuable insights into human decision-making processes and is available under the Apache License 2.0.