A Python3 graphic environment for next-generation engineering.

TreeThinkerAgent is a lightweight orchestration layer that turns any LLM into an autonomous multi-step reasoning agent. It supports multi-step planning, tool execution, and final synthesis while exposing the entire reasoning process as a tree you can explore.

🔬 Parallel AI research orchestration tool - Deploy multiple cursor-agent workers simultaneously to conduct comprehensive research with specialized focus areas and intelligent synthesis.

基于 CrewAI 的 WorldQuant Alpha 因子自动研究与回测系统 6个专业 AI 智能体协作 从研报到可验证公式的全自动流水线 支持网格搜索和智能优化

A multi-phase pipeline for automated academic research. The system discovers papers, constructs a vector-indexed library, generates structured documents with inline citations, and iterates through peer review until acceptance criteria are met.

A new package that helps developers quickly compare programming languages (Java, JavaScript, Python, Go) for a given task or context. It takes a text input describing a development scenario or require

A Python package for automating the creation of comprehensive and organized domain knowledge bases for AI applications

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.

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.

The Trinity: Multi-AI prompt engineering framework (Claude+Gemini+Python). Proven ROI: 3,300x cost reduction ($18 vs $60K). Real metrics: 959 searches → 5,755 documents → 245 policies. Validated on semiconductor tariffs, scalable to any industry.

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.

A privacy-first multi-agent system that autonomously ingests, cleans, classifies, and analyzes emotional text datasets using coordinated LLM agents to generate actionable insights without external APIs. | Python, CrewAI, Ollama (Qwen2.5), LangChain, Pandas | Agentic AI / NLP / Data Science

🌐 Compare programming languages like Java, JavaScript, Python, and Go quickly, with structured insights tailored to your development needs.

An AI-powered research assistant that analyzes multiple PDF/DOCX papers to automatically generate comprehensive Research Gap Tables and answer questions using Google Gemini.

A high-fidelity research and synthesis skill for academic-grade LLM workflows.

🧠 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.