An intelligent research orchestration system that integrates large language models with scholarly data pipelines to enable contextual retrieval, cross-paper synthesis, and real-world knowledge extraction from scientific publications.

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Viewed README.md:1-192 This Research Agent is an AI-powered tool that uses a ReAct loop to dynamically search, summarize, and compare research papers from a collection of PDFs. Unlike simple RAG, it autonomously orchestrates multi-step workflows to synthesize findings, identify research contradictions, and generate comprehensive gap analysis rep

Token-aware PubMed article fetcher with MeSH support and intelligent batching for LLM pipelines

🧠 Multi-agent AI research platform. Four specialized agents — SCOUT, ANALYST, CRITIC & SCRIBE — work in sequence to search the web, extract findings, challenge logic & synthesize professional research reports.