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 tool that reviews papers for you — Full-text screening & data extraction in seconds.

🛡️ 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 FastAPI backend powered by crewAI agents for automated research, data retrieval, and synthesis.

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.

PSTU RTC Project Management 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.

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.

I spend over ten years writing code and applying math and science. in each keystroke I found joy. I see life is a system that has variable entropy (E). Every process (p[i]) generates dE and my job is to understand what dE(p[i]) means.

A Node.js tool for extracting and analyzing author information from PubMed articles. Features include publication filtering, author affiliation tracking, and CSV report generation. Perfect for researchers and bibliometric analysis.

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

PromptForge – AI Research Assistant with Prompt Chaining

🧪 Simplify your computational experiments with RexF, a lightweight Python library that offers an easy API for reproducible results in minutes.

Self-hosted, open-source swarm of AI agents for end-to-end research on arbitrary topics using CrewAI orchestration, LLMLingua prompt compression, and dynamic MCP integration. Features specialized research agents, cost-optimized workflows, and runtime tool discovery for comprehensive automated 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

High-performance parallel AI research tool in Go - Orchestrates multiple AI models simultaneously for comprehensive research, with real-time progress tracking and intelligent result synthesis