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.

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

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

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.

PSTU RTC Project Management System

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

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

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

🤖 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 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.

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.

PromptForge – AI Research Assistant with Prompt Chaining