Continue is an open-source framework that enables developers to create, share, and use custom AI code assistants. It provides IDE extensions for VS Code and JetBrains, along with a hub of models, rules, prompts, and other building blocks. The framework supports features like chat, autocomplete, and code editing, making it easier to integrate AI assistance into the development workflow.

Cherry Studio is a cross-platform desktop client designed to support multiple large language model (LLM) providers, such as OpenAI, Gemini, and Anthropic. It offers features like AI assistant creation, multi-model conversations, document processing, and practical tools like global search and AI-powered translation. The client also supports local models via Ollama and LM Studio, providing a seamless user experience across Windows, Mac, and Linux.

UI-TARS Desktop is a GUI agent application built on the UI-TARS Vision-Language Model, allowing users to control their computer through natural language commands. It supports cross-platform functionality (Windows/MacOS), real-time feedback, and precise mouse and keyboard control. The application integrates visual recognition and screenshot capabilities, enabling seamless interaction with web browsers, command lines, and file systems.

FIRERPA Lamda is a robust Android RPA framework designed to simplify automation, reverse engineering, and data extraction tasks on mobile devices. It supports a wide range of functionalities including remote control, traffic analysis, API tracking, and more. With compatibility across ARM/X86 architectures and Android versions 6.0-15, it is ideal for large-scale automation, forensic analysis, and compliance testing. The framework offers over 160 programming APIs, enabling seamless integration with AI models and other systems.

This project provides a Go implementation of Ethereum's proof of stake consensus mechanism, enabling users to run nodes and participate in the Ethereum network. It includes features like beacon chain management, validator support, and integration with Ethereum's testnets and mainnet. The project is actively maintained and includes regular updates to support the latest Ethereum upgrades and optimizations.

Eino provides a comprehensive framework for developing LLM applications in Golang, focusing on simplicity, scalability, and reliability. It offers a rich set of components, powerful orchestration capabilities, and complete stream processing. Eino simplifies the development process by handling type checking, concurrency management, and aspect injection, making it easier to build complex AI applications. The framework also includes tools for debugging, tracing, and evaluation, supporting the entire development lifecycle.

Xiu is a live media server designed for high performance and security, built entirely in Rust. It supports a wide range of live streaming protocols, including RTMP (with cluster support), RTSP, WebRTC (Whip/Whep), HLS, and HTTP-FLV. Xiu enables protocol conversion, stream recording, and token-based authentication, making it a versatile solution for live media streaming across multiple platforms like Linux, macOS, and Windows.

Refact is an open-source AI agent designed to handle engineering tasks end-to-end. It integrates with developers' tools, plans, executes, and iterates until it achieves successful results. It supports multiple programming languages, integrates with version control systems, databases, and debugging tools, and offers features like unlimited context-aware auto-completion and in-IDE chat.

DeepChat is a versatile AI assistant that connects users to powerful AI models like OpenAI, DeepSeek, and Ollama, supporting both cloud and local deployments. It offers multi-channel chat concurrency, Markdown rendering, and cross-platform compatibility, making it efficient and user-friendly. The tool also supports local file processing, search engine customization, and multimodality models, enhancing productivity and ease of use.

The Claude Desktop Commander MCP Server extends the capabilities of Claude Desktop by integrating terminal control, file system operations, and advanced code editing features. It allows users to execute long-running terminal commands, manage processes, and perform surgical text replacements or full file rewrites. Built on top of the Model Context Protocol (MCP), it provides a seamless experience for developers to explore, edit, and manage codebases directly from Claude Desktop.

The Unity MCP Server facilitates bidirectional communication between Unity and Large Language Models (LLMs) such as Claude Desktop via the Model Context Protocol (MCP). It allows developers to automate Unity workflows, manage assets, control scenes, and manipulate materials programmatically. This server is ideal for integrating LLMs into Unity projects to enhance productivity and automate repetitive tasks.

The Open MCP Client is a project designed to facilitate integration with MCP servers, allowing seamless interaction with AI tools and frontend applications. It includes a LangGraph agent for connecting to MCP servers and a frontend application using CopilotKit for UI and state synchronization. This setup enables developers to build and debug AI-driven applications efficiently.

The MCP Server for Chat Summarization allows users to query and summarize their chat messages, making it easier to analyze and review conversations. It integrates with chat databases and provides tools for querying messages and generating summaries based on specific prompts. The server is built with TypeScript and JavaScript, and it supports development workflows with auto-rebuild and debugging tools like the MCP Inspector.

The Perplexity Ask MCP Server is a specialized implementation of the Model Context Protocol (MCP) that integrates with Perplexity's Sonar API. It allows users to perform real-time web searches without leaving the MCP ecosystem, enhancing the capabilities of AI tools like Claude. The server supports Docker, npm, and advanced configuration options, making it flexible for various deployment scenarios.

LakeSail is a computation framework designed to unify batch processing, stream processing, and compute-intensive AI workloads. It features a drop-in replacement for Spark SQL and the Spark DataFrame API, supporting both single-host and distributed settings. The framework also includes an MCP server for integrating data analytics with LLM agents and humans.

The Baidu AISearch MCP Server combines Baidu's search capabilities with large model technology to provide intelligent, context-aware responses with real-time information from the internet. It supports various industry scenarios, offering features like customizable personas, enhanced search results, and comprehensive content safety. The server ensures high performance and availability, making it a versatile solution for diverse applications.

Fetcher MCP is an MCP server designed to fetch web page content using Playwright's headless browser, enabling JavaScript execution for dynamic content. It features intelligent content extraction with a built-in Readability algorithm, supports both HTML and Markdown output formats, and allows parallel processing for batch operations. The server optimizes resource usage by blocking unnecessary elements and includes robust error handling and configurable parameters for various use cases.

Fetcher MCP is a server designed to fetch web page content using Playwright's headless browser, enabling JavaScript execution and handling dynamic web content. It includes features like intelligent content extraction, flexible output formats (HTML and Markdown), parallel processing for batch operations, and robust error handling. It is optimized for resource usage and provides configurable parameters for various use cases.