Enables semantic search and conversational querying across a personal research library of PDFs, DOCX, and other documents using a vector database. It provides tools for document summarization, finding related papers, and high-accuracy retrieval for AI clients like Claude Desktop.
Enables users to ingest PDF/DOCX/TXT/MD documents and ask natural language questions about them, using local embeddings and Groq-powered retrieval-augmented generation.
Provides persistent memory for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.
Provides AI assistants with unified access to organizational knowledge across Guru, Notion, and local docs, enabling intelligent document creation, retrieval, and management.
Enables AI assistants to analyze documents larger than their context window by loading files into RAM and querying them via search, navigation, and Python execution tools. Supports recursive reasoning to process massive datasets in chunks using sub-agents.
Transforms AI assistants into research-grade cognitive workspaces with systematic reasoning, evidence-based analysis, persistent memory management, and intelligent knowledge discovery.
