freephdlabor: customizing personalized multiagent systems that researchs 24/7 on your own scientific problem

AIRAS - an open-source project for research automation

GitHub template for autonomous strategic research using Claude Code

MCP server for arXiv.org - Search, analyze, and export academic papers with AI assistants. Features advanced paper discovery, citation analysis, trend tracking, and multi-format exports.

Web research automation with hierarchical citation trees. A more deterministic alternative to agent-based systems (like OpenAI Deep Research) that builds verifiable reasoning chains, works with smaller LLMs, and prioritizes transparency over black-box agents. Engineered for reliability and cost efficiency.

arXiv MCP Server Client 🐙 enables AI assistants to search, retrieve, analyze, and summarize arXiv papers with features like author/category browsing, trends, and citation insights.

Automation workflow for Google Scholar Alerts e-mails

🛡️ AI Code Quality Control System for Cursor IDE - Prevents low-quality code by enforcing mandatory research protocols before modifications. Optimized for Rust/Bevy stack with universal support via Context7 & web search.

A framework that makes AI research transparent, traceable, and independently verifiable.

O universo de ferramentas que transforma desenvolvedores em maestros de IA agêntica. Instale vibes (skill packs), crie commands customizados, gere planos de 100+ tasks em 5 min, rode pesquisas que economizam semanas. Configure uma vez, reutilize infinitamente.

Deepr is an open-source, multi-provider platform for deep research automation. It conducts autonomous, multi-phase investigations, manages context across iterations, and learns from outcomes to improve over time. Built on OpenAI Deep Research and designed for provider-agnostic integration, Deepr enables transparent, self-improving research systems.

🤖 Advanced multi-agent orchestration framework built with LangGraph - Coordinate specialized AI agents for autonomous development, research, testing, and documentation workflows with intelligent task routing and real-time collaboration

AI-powered multi-agent research automation system

A lightweight Python library for reproducible computational experiments with an ultra-simple, smart API. From idea to insight in under 5 minutes, with zero configuration.

PSTU RTC Project Management System

Deep research MCP server for LLM assistants. Handles web crawling, Reddit mining, and URL scraping with dynamic token budgeting.

Intelligent research automation system with three specialized AI agents for document discovery, web scraping, and automated report generation

AI Research Integration Platform: A knowledge graph-powered toolkit that streamlines the conversion of academic AI research papers into working implementations, bridging the gap between theory and practice through automated extraction, analysis, and code generation.

fastapi backend powered by crewai agents for automated research, data retrieval, and synthesis. orchestrates multi-agent workflows for query analysis, information gathering, and summarization.

Systematic AI evaluation framework that transforms subjective assessment into objective measurement. Reduce research time by 85% while maintaining 95%+ accuracy through multi-LLM validation.