Enables scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.
Enables LLM agents to search academic literature across multiple sources (IEEE, arXiv, ACM, Semantic Scholar, CORE, Scite, Consensus) and index/search local PDFs.
Enables AI agents to search academic papers, analyze citations and authors, track trending research, and find semantically related work using free scholarly sources.
Enables searching, fetching, and analyzing scientific papers from ArXiv, ACL Anthology, Semantic Scholar, and Hugging Face datasets, with optional LLM-powered document QA and research proposal workflows.