Brave Search MCP Server is a web search tool developed by Brave Software. It has an index of over 10 billion web pages, supports local search functionality, and can quickly provide users with the information they need. It is suitable for finding real-time, localized businesses and services. This tool emphasizes privacy protection to ensure user information security. The basic plan provides 2000 queries/month, making it convenient for individuals and developers.

Level-Navi Agent is an open-source general-purpose web search agent framework that can decompose complex problems and progressively search for information on the internet until it answers user questions. By providing the Web24 dataset, covering five major fields: finance, games, sports, movies, and events, it provides a benchmark for evaluating model performance on search tasks. The framework supports zero-shot and few-shot learning, providing an important reference for the application of large language models in the field of Chinese web search agents.

Chat2Geo is a web application built on Next.js 15 that provides a ChatGPT-like chat interface for performing remote sensing-based geospatial analysis. It leverages Google Earth Engine to process and analyze various remote sensing datasets in the backend. Users can upload their own vector data, run advanced geospatial queries, and integrate with an AI assistant to complete tasks such as land cover mapping, change detection, and air pollutant monitoring. By combining geospatial analysis with non-geospatial/textual information, this product offers a powerful and practical Knowledge Retrieval Augmented Generation (RAG) workflow. It inherits most of the building blocks of the GRAI 2.0 application developed by GeoRetina and is continuously updated to meet community needs.

Site RAG is a Chrome extension designed to assist users in quickly obtaining answers to questions while browsing the web, using natural language processing technology. It supports querying with the current page content as context and allows the indexing of entire website content into a vector database for subsequent retrieval-enhanced generation (RAG). The product runs entirely in the local browser, ensuring user data security, and supports connection to a locally running Ollama instance for inference. It primarily targets users who need to rapidly extract information from web content, such as developers, researchers, and students. This product is currently offered for free, making it suitable for those seeking immediate assistance while browsing the web.

EasyWeb is an AI-based open platform focused on constructing and deploying intelligent agents capable of interacting with web browsers. It provides a user-friendly interface that allows users to swiftly deploy AI agents for various browser-related tasks, such as travel planning, online shopping, and news gathering. Built on the OpenHands architecture, it supports the parallel processing of multiple user requests, allowing users to switch between different agents and large language models (LLMs) as needed. Its key advantages include simple deployment, user convenience, support for multiple task types, and complete open source availability, making it ideal for developers and researchers for further development and research. The emergence of EasyWeb presents new possibilities for AI's application in task automation, while also providing substantial support for research and development in related fields.

node-DeepResearch is a deep research model based on Jina AI technology, focused on finding answers to questions through continuous searching and reading of web pages. It leverages the LLM capabilities provided by Gemini and the web search functionality of Jina Reader to handle complex query tasks and generate answers through multi-step reasoning and information integration. The main advantages of this model lie in its powerful information retrieval and reasoning capabilities, enabling it to address complex questions requiring multi-step answers. It is suitable for scenarios requiring in-depth research and information mining, such as academic research and market analysis. Currently, this model is open-source, and users can obtain the code from GitHub for self-deployment.

PaSa is an advanced academic paper search agent developed by ByteDance, based on large language model (LLM) technology. It can autonomously invoke search tools, read papers, and filter relevant references to obtain comprehensive and accurate results for complex academic queries. This technology is optimized through reinforcement learning, trained using the synthetic dataset AutoScholarQuery, and has shown outstanding performance on the real-world query dataset RealScholarQuery, significantly outperforming traditional search engines and GPT-based methods. The main advantages of PaSa lie in its high recall and precision rates, providing researchers with a more efficient academic search experience.

vdr-2b-multi-v1 is a multilingual embedding model launched by Hugging Face, specifically designed for visual document retrieval. This model encodes document page screenshots into dense vector representations, allowing for the search and query of visually rich multilingual documents without the need for OCR or data extraction processes. Developed based on the MrLight/dse-qwen2-2b-mrl-v1 model, it has been trained on a self-constructed multilingual query-image pair dataset, making it an upgraded version of mcdse-2b-v1 with enhanced performance. The model supports Italian, Spanish, English, French, and German and includes a high-quality open-source multilingual synthetic training dataset with 500,000 samples, characterized by low VRAM usage and fast inference capabilities, demonstrating excellent performance in cross-language retrieval.

Open Deep Research is an open-source tool designed to generate detailed reports from web search results using AI technology. It integrates technologies like the Bing Search API and JinaAI, enabling rapid retrieval and processing of large amounts of information to generate customized reports. The tool's primary advantages are its flexibility and open-source nature, allowing users to tailor and expand it according to their needs. It is suitable for users who need to organize and analyze significant amounts of information, including researchers, analysts, and corporate users. This project is currently free, making it accessible for organizations and individuals of all sizes.

Prompt Monitor is an AI search optimization tool that helps businesses enhance brand awareness and sales by monitoring brand exposure in AI recommendations. This tool can track brand exposure on AI platforms, perform competitive analysis, monitor brand mentions, perform sentiment analysis, discover citations, identify AI sources, and track rankings.

AurumTau is an intelligent, context-aware search engine based on advanced AI technology that provides intelligent, context-aware answers. Its main advantages lie in providing accurate and fast answers to help users solve problems.

Opera Neon is an intelligent AI browser that can understand user intentions, assist in completing tasks, and provide intelligent assistance. Its main advantages include automated tasks, understanding intentions and outputting, and collaborating with users. Opera Neon is positioned to provide an intelligent browsing experience and is currently in the beta testing phase.

ModAstera offers an all-in-one medical AI development platform that accelerates R&D processes by utilizing AI-assisted data labeling and medical AI engineering agents. It reduces development costs and helps bring products to market faster than competitors. The product meets the digital transformation needs of the healthcare industry.

Morphik is an open-source AI knowledge base that helps users obtain answers from research papers, reports, company files, etc. Its search function is fast and accurate, with outstanding performance in technical field searches. Morphik can connect to any data source and supports perfect searching of complex charts, diagrams, and data tables.

NoCode is a platform that requires no programming experience, allowing users to quickly generate applications by describing their ideas in natural language, aiming to lower development barriers so more people can realize their ideas. The platform provides real-time previews and one-click deployment features, making it very suitable for non-technical users to turn their ideas into reality.

Unoffended Labs is a shopping experience platform that provides AI recommendation and intelligent search functions. It offers personalized shopping experiences for users by helping them quickly find their favorite items.

Genie Studio is a one-stop development platform specifically designed by Zhiyuan Robotics for embodied AI scenarios, with full-chain product capabilities covering data acquisition, model training, simulation evaluation, and model inference. It provides developers with a standardized solution from 'acquisition' to 'training' to 'testing' to 'inference', greatly reducing the development threshold and improving development efficiency. The platform promotes the rapid development and application of embodied AI technology through efficient data acquisition, flexible model training, precise simulation evaluation, and seamless model inference. Genie Studio not only provides powerful tools but also supports the large-scale implementation of embodied AI, accelerating the industry's leap to a new stage of standardization, platformization, and mass production.

Button is an AI intelligent agent development platform that integrates rich capabilities such as plugins, long-term and short-term memory, and workflows, aiming to help users quickly build and deploy intelligent agents with commercial value. Its openness and flexibility allow users from various industries to find suitable solutions, catering to the different needs of individuals and businesses.