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.

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.

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.

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.

🤖 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

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

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.

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.

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.

🧠 Self-learning AI research assistant with 66-agent orchestration, MCP server, and real-time citation graph visualization. Process 1000+ papers/minute with 150x faster vector search.

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.

AI-Powered LinkedIn Research Platform with Multi-Agent System (Claude SDK) and Browser Automation (MCP)