A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
A Python3 graphic environment for next-generation engineering.
Family-aware evolutionary alpha mining with LLM-guided symbolic hybridization.
Crypto AI Analytics is a sophisticated desktop tool designed for data-driven crypto market analysis and intelligent trend detection.
Autonomous research harness for AI agents. Give it a measurable goal — it hypothesizes, experiments, and iterates until it finds a solution or tells you what it learned.
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.
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
🔬 Parallel AI research orchestration tool - Deploy multiple cursor-agent workers simultaneously to conduct comprehensive research with specialized focus areas and intelligent synthesis.
Deprecated: older academic research-agent prototype, superseded by newer agent workflows.
Autonomous multi-agent AI for literature discovery, citation graph analysis, ML experiments, and research report generation.
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
🤖 The most comprehensive, community-driven resourcefor Automated AI Research — papers, tools, people, lbs, roadmaps. Featuring Recursive Lab, Sakana AI, DepMind & beyond.
🧠 Orchestrate parallel AI research with Cursor CLI Heavy to synthesize diverse insights into comprehensive reports on any topic.
A Python package for automating the creation of comprehensive and organized domain knowledge bases for AI applications
Generate AI research papers on antimicrobial peptides (AMPs) using SakanaAI/AI-Scientist-v2
AI-Synthesized Security Research for SQLi. Automatically updated and refined. (2024-2026)
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.
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.
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
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