Swarm is an experimental framework managed by the OpenAI Solutions team, designed to build, orchestrate, and deploy multi-agent systems. It facilitates coordination and execution among agents (Agents) through the definition of abstract concepts of agents and handoffs. The Swarm framework emphasizes lightweight design, high controllability, and ease of testing, making it ideal for scenarios that require numerous independent functionalities and instructions. It allows developers complete transparency and fine-grained control over context, steps, and tool calls. The Swarm framework is currently in an experimental stage and is not recommended for production environments.

ColPali is an efficient document retrieval tool based on visual language models, simplifying the retrieval process by directly embedding images of document pages. Leveraging the latest visual language model technology, particularly the PaliGemma model, ColPali improves retrieval performance through late interaction mechanisms for multi-vector retrieval. This technology not only accelerates indexing speed and reduces query latency, but also excels in retrieving documents containing visual elements such as charts, tables, and images. ColPali introduces a new paradigm of 'visual space retrieval' in the field of document retrieval, enhancing the efficiency and accuracy of information retrieval.

VARAG is a system that supports various retrieval technologies, optimized for different use cases of text, image, and multimodal document retrieval. It simplifies traditional retrieval workflows by embedding document pages as images and enhances retrieval accuracy and efficiency through advanced visual language models. VARAG's primary advantage lies in its capability to handle complex visual and textual content, providing robust support for document retrieval.

Windows Agent Arena (WAA) is an open-source framework dedicated to the Windows operating system for testing and developing AI agents capable of reasoning, planning, and acting using language models on PCs. It simulates a real Windows environment, allowing agents to operate freely and use the same applications, tools, and web browsers as human users to solve tasks. WAA leverages Azure for scalability and parallelization, completing comprehensive benchmark evaluations in as little as 20 minutes.

muAgent is an innovative agent framework powered by a knowledge graph engine, supporting multi-agent orchestration and collaboration technology. It leverages LLM + EKG (Eventic Knowledge Graph for industry knowledge) technology, integrating FunctionCall, CodeInterpreter, and more, to automate complex SOP processes through drag-and-drop canvas design and lightweight text scripting. muAgent is compatible with various existing agent frameworks and features core functionalities such as complex reasoning, online collaboration, human interaction, and knowledge accessibility. This framework has been validated in multiple complex DevOps scenarios at Ant Group.

Open-LLM-VTuber is an open-source project designed for interaction with large language models (LLMs) via voice, featuring real-time Live2D facial capture and cross-platform long-term memory capabilities. This project supports macOS, Windows, and Linux platforms, allowing users to select different speech recognition and speech synthesis backends, as well as customized long-term memory solutions. It is particularly suited for developers and enthusiasts looking to implement natural language conversations with AI across various platforms.

This project, built with Next.js, leverages Upstash Vector to provide semantic search capabilities for Wikipedia. It features optimized loading of the custom Google font, Inter, to enable efficient search and retrieval of Wikipedia content.

The multi-agent concierge is a system that employs multiple specialized agents to accomplish complex tasks, guided by a 'concierge' agent that directs users to the appropriate agents. This system is designed to manage multiple interdependent tasks using hundreds of tools. It demonstrates how to create implicit 'chains' between agents through natural language commands and manage these chains with 'continuation' agents, while employing a global state to track users and their current status.

MiniPerplx is an AI-based minimalist search engine designed to help users quickly find the information they need on the internet. It utilizes APIs from AI service providers like OpenAI, Anthropic, and Tavily, integrating these technologies to deliver fast and accurate search results. The product is developed using a tech stack that includes TypeScript, CSS, and JavaScript, and follows the MIT License.

Dropbox Dash is a business tool that combines AI search, organization, and content access control. It allows users to quickly find the necessary content from company applications, files, and tags while ensuring content security. Dash streamlines team collaboration processes by connecting various tools, such as Google Drive, Microsoft OneDrive, and Dropbox. Key advantages of Dash include AI-driven universal search, one-click content control, a centralized homepage, and easily shareable content collections. Provided by Dropbox, it serves over 700 million registered users and is a trusted productivity tool.

Bilin AI is a website that utilizes artificial intelligence technology to provide a global information search service that is unbiased and hallucination-free. Through advanced algorithms and machine learning techniques, it helps users filter out false information and biased content, thereby obtaining more authentic and accurate search results. In this age of information overload, the importance of Bilin AI is self-evident; it helps users save time and enhance the efficiency and quality of information retrieval.

Perplexity is an AI-based search and discovery tool designed to provide users with credible and up-to-date answers. It helps users efficiently obtain the information they need through AI-guided searches, voice or text queries, in-depth thread follow-ups, a built-in trust system (citing sources), and a personal knowledge base. This app is suitable for anyone seeking to quickly access accurate information, from students and researchers to casual knowledge explorers. Perplexity is currently available for free download, with in-app purchase options offered.

TurboSeek is an innovative AI search engine that provides users with fast and accurate search results by integrating the Bing Search API with advanced large language models (LLMs) like Mixtral 8x7B and Llama-3. This search engine is characterized by its ability to understand and process natural language queries, returning more relevant and in-depth information. Its significance lies in enhancing the efficiency of information retrieval, especially when dealing with large datasets and complex queries. TurboSeek was inspired by advanced search engines like Perplexity, aiming to deliver a more intelligent and efficient search tool. Currently, the product is available for free and is primarily targeted at tech enthusiasts and users dealing with substantial information.

PodcastWorld is a search engine that utilizes artificial intelligence technology to help users find the answers they need by analyzing millions of podcast dialogues. Users can ask questions and listen directly to the segments in podcasts that address these queries. This platform not only offers a new way to interact with podcast content but also enables deeper engagement with podcast creators through its chat feature. PodcastWorld fulfills user needs for information retrieval and knowledge sharing by providing podcast summaries, audio clips, and complete dialogue records.

Swarm is an experimental framework managed by the OpenAI Solutions team, designed to build, orchestrate, and deploy multi-agent systems. It facilitates coordination and execution among agents (Agents) through the definition of abstract concepts of agents and handoffs. The Swarm framework emphasizes lightweight design, high controllability, and ease of testing, making it ideal for scenarios that require numerous independent functionalities and instructions. It allows developers complete transparency and fine-grained control over context, steps, and tool calls. The Swarm framework is currently in an experimental stage and is not recommended for production environments.

ColPali is an efficient document retrieval tool based on visual language models, simplifying the retrieval process by directly embedding images of document pages. Leveraging the latest visual language model technology, particularly the PaliGemma model, ColPali improves retrieval performance through late interaction mechanisms for multi-vector retrieval. This technology not only accelerates indexing speed and reduces query latency, but also excels in retrieving documents containing visual elements such as charts, tables, and images. ColPali introduces a new paradigm of 'visual space retrieval' in the field of document retrieval, enhancing the efficiency and accuracy of information retrieval.

Kimi Exploration Edition is an advanced deep reasoning AI search feature of Kimi. It interprets and breaks down problems, then searches and infers answers, allowing for thorough reading of 500 pages in a single search. This new feature enables Kimi to think like a human, providing more accurate and practical search results. It can also use mathematical models and programming to tackle complex issues, and engage in self-reflection when needed to optimize answers. In short, the Kimi Exploration Edition makes AI search smarter and closer to human cognitive processes.

Arc Search is a modern, AI-supported mobile browser designed to help users find answers more quickly without distractions from the internet. It employs intelligent search technology to filter out unnecessary information, directly targeting the answers users need, thereby enhancing search efficiency.