AI Agent Skills

Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc

Text-To-Speech, RAG, and LLMs. All local!

Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them.

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

Self-evolving multi-agent "newsroom" that turns your documents into a cross-linked knowledge wiki — writer ≠ reviewer, local-first, no API keys, a structured alternative…

Chat with your documents using local AI

A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normal…

📚 Process PDFs, Word documents and more with spaCy

Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps.

Extract Bilibili videos into learning-oriented Markdown notes with full subtitle and comment archives

Document, columnar, KV, Graph, Vector, Array - The only all-in-one database that you need.

🥥 Coco AI Server - Search, Connect, Collaborate, AI-powered Enterprise Search, all in one space.

GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from docume…

A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.

Secure AI conversations with documents, video, audio, and more. Personal workspaces for focused context, group spaces for shared insight. Classify docs, reuse prompts, a…