Enables AI assistants to interact with local documents (PDF, Markdown, TXT) through tools for discovery, reading, extraction, summarization, comparison, keyword extraction, search, and analysis, ensuring privacy and offline capability.
Enables local task execution using the user's NVIDIA NIM API quota, with tools to process file contents through LLMs, send chat prompts, and list available models.
Enables tool-calling over TCP for a local RAG pipeline, allowing document ingestion and querying via MCP tools, fully offline with no cloud dependencies.
Enables browsing and preparing study materials from local documents (PDF, Markdown, text, Word) via tools for overview, search, reading, chunking, and quiz generation.
Enables AI-assisted learning through structured courses with Socratic guidance, evaluating user answers against rubrics and managing learning progress locally.
