DATAGEN
✨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.
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.
An intelligent agent designed specifically for mathematical modeling that automatically handles problem analysis, mathematical modeling, coding, error correction, and paper writing to generate complete contest-ready papers.
A fully automated personal AI research assistant that supports multiple large language models to help users conduct in-depth research and information gathering.
An open-source multi-agent system that automatically converts academic papers into editable academic posters, supporting various model combinations including GPT-4o and local open-source models.
CAMEL is an open-source multi-agent framework dedicated to discovering the scaling laws of agents. It supports simulating up to 1 million agents with dynamic communication, stateful memory, and various benchmark capabilities, providing valuable insights into agent behaviors, capabilities, and potential risks.
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