The WeChat Reading MCP Server is a lightweight server that bridges WeChat Reading data and Claude Desktop, aiming to achieve in-depth interaction between reading notes and AI. This product utilizes the MCP protocol to seamlessly integrate reading data, providing real-time access and significantly improving users' reading efficiency and information management capabilities.

LeoMoon Wiki-Go is a fast, modern flat-file Wiki built using Go. It focuses on simplicity and performance, supports Markdown formatting, is completely database-free, and requires zero maintenance. Suitable for personal knowledge management, team collaboration, and internal documentation.

SmolDocling-256M-preview is a 256M parameter language model launched by ds4sd, focusing on the medical field. Its importance lies in providing effective tools for medical text processing and medical knowledge extraction tasks. In medical research and clinical practice, a large amount of text data needs to be analyzed and processed, and this model can understand and process medical professional language. The main advantages include good performance in the medical field, the ability to handle a variety of medical-related text tasks, such as assisting in disease diagnosis and summarizing medical literature. The background of this model is that with the growth of medical data, the technical demand for processing medical text is increasing. Its positioning is to provide language processing capabilities for researchers, doctors, developers, and others in the medical field. Pricing information is not currently available.

This product is a project based on the Lattice Boltzmann Method (LBM), a numerical technique for computational fluid dynamics that describes macroscopic fluid behavior by simulating the motion of microscopic particles. Its significance lies in its ability to efficiently simulate complex fluid systems, such as multiphase flow and flow in porous media. Key advantages include high computational efficiency, relatively simple boundary condition handling, and ease of parallelization. The project, hosted on GitHub, is open-source and suitable for researchers and students for fluid dynamics simulation research and learning. It is intended for research and academic use and is currently free.

Yuxi-Know is a knowledge graph question-and-answer system based on a large model RAG knowledge base, built using Llamaindex + VueJS + Flask + Neo4j. It supports model calls from OpenAI, mainstream domestic large model platforms, and local vllm deployment, and can implement functions such as knowledge base Q&A, knowledge graph retrieval, and online search. The main advantages of this system are flexible adaptation to multiple models, support for multiple knowledge base formats, and strong knowledge graph integration capabilities. It is suitable for enterprises and research institutions that need efficient knowledge management and intelligent question-and-answer, and has high technological advancement and practicality.

SkyPilot RAG is a retrieval-augmented generation system that combines vector search and large language models. It provides legal professionals with efficient information retrieval and analysis tools through semantic search and intelligent question answering. Built on SkyPilot, the system manages infrastructure and efficiently utilizes computing resources, supporting deployment on any cloud environment or Kubernetes. Its main advantages include high accuracy, context awareness, and traceability, significantly improving the efficiency and reliability of legal document processing.

kg-gen is an artificial intelligence-based tool that extracts knowledge graphs from plain text. It supports text inputs ranging from single sentences to lengthy documents and can handle conversational-style messages. Leveraging advanced language models and structured output techniques, this tool helps users quickly construct knowledge graphs, suitable for natural language processing, knowledge management, and model training, among other applications. kg-gen provides flexible interfaces and a variety of functionalities designed to streamline the knowledge graph generation process and enhance efficiency.

Goedel-Prover is an open-source large language model specializing in automated theorem proving. It significantly enhances the efficiency of automated mathematical problem solving by translating natural language mathematical questions into formal languages (such as Lean 4) and generating formal proofs. The model achieved a success rate of 57.6% on the miniF2F benchmark, surpassing other open-source models. Its key advantages include high performance, open-source extensibility, and a deep understanding of mathematical problems. Goedel-Prover aims to advance automated theorem proving technologies and provide powerful tool support for mathematical research and education.

HoverNotes is a tool that converts videos into local Obsidian notes. It captures code snippets, charts, and visual elements, generating structured markdown notes with screenshots, closely integrating with Obsidian.

Docaroo is an intelligent document management tool that helps users organize, access, and protect digital documents through AI technology. Its secure cloud storage and intelligent reminder functions make it easier for users to manage important files.

SigmaNote is an AI memory tool that can convert various files, links into editable AI notes, helping users search, communicate and organize information anytime, anywhere. Its AI technology provides fast conversion, intelligent editing and convenient chat functions to improve work efficiency.

TeraBox is a platform that offers 1TB of free cloud storage and online file transfer services. It provides professional solutions for papers and online presentations through advanced algorithms and natural language processing technologies, improving work and study efficiency. The product targets individual users and small teams, offering 1TB of free cloud storage space.

ScatterNote is a tool that transforms scattered ideas into structured documents. It leverages AI technology to help users quickly capture and organize their ideas, improving work efficiency and organizational skills.

The WeChat Reading MCP Server is a lightweight server that bridges WeChat Reading data and Claude Desktop, aiming to achieve in-depth interaction between reading notes and AI. This product utilizes the MCP protocol to seamlessly integrate reading data, providing real-time access and significantly improving users' reading efficiency and information management capabilities.

LeoMoon Wiki-Go is a fast, modern flat-file Wiki built using Go. It focuses on simplicity and performance, supports Markdown formatting, is completely database-free, and requires zero maintenance. Suitable for personal knowledge management, team collaboration, and internal documentation.

Supermemory MCP is a personal general-purpose memory platform designed to help users access and store their memory information anytime, anywhere. It supports access through different clients, allowing users to easily add and manage memories. This product emphasizes portability and privacy protection, making it suitable for a variety of user groups. It is free to use.

Guidemaker is a free SOP generation tool developed by Tettra, designed to provide users with a simple and efficient document creation solution. It is free of charge and constantly updated, suitable for various teams, helping to simplify internal knowledge sharing and management.