A grounded orchestration framework for multi-agent collaboration on financial tasks leveraging the OSWorld environment, featuring Orchestrator-Worker dual-agent architecture with support for local database queries, GitHub integration, and financial data aggregation.
An AI-powered data science team of agents that automates data loading, cleaning, feature engineering, EDA, visualization, and machine learning modeling (H2O + MLflow) through specialized agent collaboration, featuring a Streamlit visual pipeline studio to perform common data science tasks 10X faster.
An AI-driven multi-agent research assistant based on LangGraph that automates the entire research workflow from hypothesis generation, data analysis, and visualization to comprehensive report writing.
A daily stock analysis tool developed by ZhuLinsen for automated processing and analysis of stock market data, potentially including technical indicator calculations and visualization capabilities.
An open-source enterprise-level AI system that integrates agent orchestration and data analysis platforms, helping businesses balance the creativity of LLMs with the stability of workflows.
An intelligent agent system for collecting and processing news information, helping users automate the acquisition and analysis of news content.
An AI agent powered by Large Language Models (LLMs) that streamlines the entire process of data analysis, from cleaning and preprocessing to model selection and visualization, making data analysis accessible to everyone.
The first agentic LLM for autonomous data science that autonomously completes the entire data science pipeline including data preparation, analysis, modeling, visualization, and report generation. Supports diverse data sources and produces analyst-grade research reports.
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