A multimodal academic research assistant for LLM Agent papers, enabling paper search, PDF/figure understanding, knowledge graph memory, learning paths, and reproducible experiments via MCP.
A production-quality multi-agent research system with an arXiv MCP server and LangGraph-based research agents, providing search, details, and cached summaries via SQLite.
A LangGraph-powered research agent that performs iterative web searches using Google Search and Gemini models to generate structured reports with citations. It integrates with MCP-compatible clients like Claude and Cursor to enable sophisticated, multi-step AI research workflows.
A local academic research assistant that indexes PDFs into a searchable vector library and exposes MCP tools for semantic search, claim extraction, contradiction detection, and multi-step research synthesis.