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

AIRAS - an open-source project for research automation

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.

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.

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.

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 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.

Deepr: Research automation evolving toward self-awareness. Kilo layer (meta-observer) maintains understanding across sessions through temporal knowledge graphs and adaptive dream cycles. Not just executing research - learning from it, reflecting on strategies, improving autonomously. OpenAI Deep Research + adaptive planning + persistent memory

PSTU RTC Project Management System

🤖 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

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

AWO formalizes AI-human research into verifiable, reproducible workflows. Each run generates cryptographically signed provenance records, ensuring transparency, falsifiability, and DOI-registered reproducibility under Waveframe Labs governance.

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

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

Autonomous multi-agent system for blockchain research and documentation using Claude AI

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

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.