A Python3 graphic environment for next-generation engineering.
Ascribe: A deterministic multi‑agent simulator for modeling and testing value assumptions in AI agents to de‑risk real‑world systems and studies.
🔬 Parallel AI research orchestration tool - Deploy multiple cursor-agent workers simultaneously to conduct comprehensive research with specialized focus areas and intelligent synthesis.
A Python package for automating the creation of comprehensive and organized domain knowledge bases for AI applications
An advanced AI-powered research platform using multi-agent systems (CrewAI + Groq) to automate comprehensive research, analysis, and professional report generation. Built with Python and Streamlit for intelligent, automated research workflows.
ResearchFlow is a multi-agent AI system that automates research workflows. It orchestrates Search, Reader, Analyst, and Generator agents via LangGraph, integrating RAG, memory, and external knowledge sources to deliver intelligent, autonomous analysis and report generation.
A smart research assistant powered by CrewAI, Gemini, and Serper that takes any topic as input, searches the web, summarizes findings, and generates a professional markdown article.
🧠 Orchestrate parallel AI research with Cursor CLI Heavy to synthesize diverse insights into comprehensive reports on any topic.
🧠 Conduct parallel research using multiple AI assistants for a comprehensive analysis on any topic, synthesizing findings into unified reports.
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