Best 175 Development and s Tools of 2025

MCPify.ai is a powerful online platform that allows users to build their own MCP servers in a short amount of time, without requiring any programming knowledge. Users can transform their ideas into efficient AI tools through a simple interface, compatible with multiple platforms such as Claude and Cursor. The product's greatest advantages are its ease of use and rapid deployment, helping individuals and businesses improve their efficiency and productivity.

EasyControl Ghibli is a newly released model, based on the Hugging Face platform, designed to simplify the control and management of various artificial intelligence tasks. The model combines advanced technology with a user-friendly interface, allowing users to interact with AI in a more intuitive way. Its main advantages are ease of use and powerful functionality, making it suitable for users of different backgrounds, from beginners to professionals.

Agno is a powerful toolkit designed for building multimodal agents. It empowers large language models (LLMs) with superpowers such as memory, knowledge, tools, and reasoning. Agno's flexibility and scalability make it suitable for various application scenarios, including education, business, and creative fields. The open-source nature of this toolkit allows for easy integration and customization, making it ideal for developers and researchers. In terms of pricing, Agno is completely free and suitable for projects of all sizes.

CangjieMagic is an LLM Agent development framework built based on the Cangjie programming language. It supports a variety of functions, including intelligent task planning and modular invocation. This framework aims to enhance the intelligence and creativity of applications and is suitable for developers.

Awesome DeepSeek Integration is an open-source project designed to integrate the DeepSeek API into various popular software applications. It provides developers and users with a platform for quick access to DeepSeek capabilities, allowing them to utilize DeepSeek's powerful features within their familiar environments. This project is completely free, supports multiple languages, and offers high flexibility and scalability to meet diverse user needs.

bRAG-langchain is an open-source project focused on the research and application of Retrieval-Augmented Generation (RAG) technology. RAG is an AI technology that combines retrieval and generation. By retrieving relevant documents and generating answers, it provides users with more accurate and comprehensive information. This project provides a guide to RAG implementation, from basic to advanced, helping developers quickly get started and build their own RAG applications. Its key advantages are its open-source nature, flexibility, and ease of extension, making it suitable for various applications requiring natural language processing and information retrieval.

Langflow is a low-code tool for developers, focusing on simplifying the building process of AI agents and workflows. It allows developers to quickly build complex AI applications through a visual interface, supporting the integration of various APIs, models, and databases. By providing a wealth of pre-built components and customizable options, the tool helps developers focus on creativity rather than complex code implementation. Langflow offers a free trial and supports cloud deployment, suitable for a wide range of users from individual developers to enterprise teams.

Crawl4LLM is an open-source web crawling project designed to provide an efficient data crawling solution for the pre-training of Large Language Models (LLMs). It helps researchers and developers obtain high-quality training corpora through intelligent selection and crawling of web data. The tool supports various document scoring methods and allows flexible adjustment of crawling strategies based on configurations to meet different pre-training needs. Developed in Python, the project boasts good scalability and ease of use, making it suitable for both academic research and industrial applications.

ShipAny is a NextJS template specifically created for building AI SaaS startup projects. With a variety of templates, components, and pre-configured infrastructure, it helps developers kickstart projects within hours. Its key advantages include significant time savings, robust technical support, and flexible customization capabilities. ShipAny aims to lower the technical barriers of AI entrepreneurship, enabling developers and entrepreneurs to concentrate on core business logic and swiftly turn ideas into tangible products. Its pricing strategy is transparent, catering to entrepreneurs at different stages.

Doctor Droid is an AI troubleshooting tool designed for engineering teams, capable of quickly diagnosing root issues in production environments through interaction with existing tools and context-specific understanding. Its primary advantage is the acceleration of the troubleshooting process using AI technology, thereby improving team efficiency and minimizing manual coordination. The product is positioned to help businesses solve technical problems more intelligently and swiftly, enhancing engineering team productivity. Specific pricing information is not clearly displayed on the page and requires further inquiry.

Dria-Agent-a-3B is a large language model based on the Qwen2.5-Coder series, specifically tailored for agent applications. It employs a Pythonic approach to function calling, featuring advantages such as concurrent multi-function calls, free-form reasoning and actions, and instant complex solution generation. The model has excelled in various benchmarks, including the Berkeley Function Calling Leaderboard (BFCL), MMLU-Pro, and the Dria-Pythonic-Agent-Benchmark (DPAB). It has 3.09 billion parameters and supports the BF16 tensor type.

TIXAE AGENTS.ai is a platform focused on creating, deploying, and scaling voice and text AI agents. It provides a range of out-of-the-box tools and integrations like Voiceflow and VAPI to support dynamic agent development. The platform's key advantages include an easy-to-use interface, powerful integration capabilities, and flexible customization options. It primarily targets developers and enterprises, offering a free trial and various pricing plans to accommodate different user needs.

Smolagents is a minimalist AI agent framework developed by the Hugging Face team, designed to allow developers to deploy powerful agents with minimal code. It focuses on code agents, which execute tasks by writing and executing Python code snippets, rather than generating JSON or text blocks. This approach leverages the capabilities of large language models (LLMs) to generate and understand code, providing better composability, flexibility, and rich utilization of training data to efficiently handle complex logic and object management. Smolagents integrates deeply with Hugging Face Hub for easy sharing and loading of tools, promoting community collaboration. Additionally, it supports traditional tool-calling agents and is compatible with various LLMs, including models from Hugging Face Hub and those integrated through LiteLLM from OpenAI, Anthropic, and others. The introduction of Smolagents lowers the barrier to developing AI agents, enabling developers to more easily build and deploy AI-driven applications.

The Random Address Generator is a powerful online tool designed to provide developers, testers, and business users with realistic and diverse address data. By generating real-world formatted addresses for various countries, it helps users save substantial time and effort in software testing, database population, and system development. Key advantages include a user-friendly interface, privacy protection, customizable options, and rapid generation speed. This product is completely free, suitable for projects of all sizes.

WebUI is a user interface built on Gradio designed to provide a convenient browser-based interaction experience for AI agents. It supports various large language models (LLMs), such as Gemini and OpenAI, allowing users to choose the appropriate model based on their needs. The main advantages of WebUI lie in its user-friendly design and powerful customization features, enabling users to operate through their browsers without the hassle of repeated logins and authentications. Additionally, WebUI supports high-definition screen recording, offering users more usage scenarios. This product aims to provide a simple and easy-to-use AI interaction platform for developers and researchers to facilitate better development and research of AI applications.

GitPodcast is an innovative online tool that enables users to convert any code repository from GitHub into podcast format, facilitating a rapid understanding of projects. This format is particularly appealing to developers and project enthusiasts, as it offers a novel way to explore and learn about code. Developed by BandarLabs, GitPodcast aims to make code projects more comprehensible and engaging through its podcast format. The product is currently free and is designed to enhance developers' work efficiency and learning experiences.

Bespoke Curator is an open-source project that provides a rich Python-based library for generating and curating synthetic data. It features high-performance optimization, intelligent caching, and fault recovery, and can directly collaborate with HuggingFace Dataset objects. Key advantages of Bespoke Curator include its programmability and structured output capabilities, which allow for designing complex data generation pipelines and real-time checking and optimization of data generation strategies through the built-in Curator Viewer.

FlagCX is a scalable and adaptive cross-chip communication library supported by the Beijing Academy of Artificial Intelligence (BAAI). It is part of the FlagAI-Open open-source initiative aimed at fostering an open-source ecosystem for AI technologies. FlagCX utilizes native collective communication libraries and comprehensively supports single-chip communication across different platforms. Supported communication backends include NCCL, IXCCL, and CNCL.

FlagPerf, developed collaboratively by the Zhiyuan Institute and AI hardware manufacturers, is an integrated AI hardware evaluation engine designed to establish an industry practice-oriented metric system for assessing the actual capabilities of AI hardware across software stack combinations (models + frameworks + compilers). The platform supports a multidimensional evaluation metric system covering scenarios of large model training and inference, and accommodates multiple training frameworks and inference engines, connecting AI hardware and software ecosystems.

The NVIDIA Jetson Orin Nano Super Developer Kit is a compact generative AI supercomputer that offers superior performance at a lower price. It caters to a wide user base ranging from commercial AI developers to hobbyists and students, providing a 1.7x increase in generative AI inference performance, a performance boost to 67 INT8 TOPS, and an upgrade in memory bandwidth to 102GB/s. This product is ideal for developing retrieval-augmented generative LLM chatbots, building visual AI agents, or deploying AI-based robots.

Android XR is a platform provided by Google aimed at assisting developers in creating and optimizing extended reality (XR) applications. It includes a variety of tools, APIs, and frameworks that enable developers to build immersive XR experiences for Android devices. The significance of Android XR lies in its capability to transform traditional Android applications into XR experiences while allowing developers to use familiar tools and languages, thereby lowering the barrier to XR development. Android XR will integrate Google's AI assistant, Gemini, to offer device control and insights into the content seen by the user.

IBM's next-generation Co-Packaged Optics (CPO) technology is a groundbreaking optical solution designed to connect chips, circuit boards, and servers within data centers using light instead of electricity. This enhances bandwidth, reduces energy consumption, and accelerates the training and operation of AI models. CPO technology significantly increases communication bandwidth in data centers, reduces GPU idle time, and dramatically speeds up AI processing. It represents a new paradigm in data center communication, helping to meet the growing energy and processing demands of generative AI.

MCP Servers is a platform that aggregates various MCP servers from around the world, providing functionalities such as querying and summarizing chat messages, using the Brave Search API for both web and local searches, managing Git repositories, AI image generation, and retrieving and analyzing issues from Sentry.io. These servers support developers and enterprises in achieving automation and intelligence across various fields, enhancing efficiency and innovation capabilities. With its rich features and wide range of applications, the MCP Servers platform has become an essential tool in the programming domain.

Copilot Labs is an experimental platform launched by Microsoft, designed for Copilot Pro subscribers to preview new features. These functionalities are tested and feedback is collected on this platform prior to official release, allowing for further optimization. Copilot Labs embodies Microsoft's spirit of innovation in AI and its commitment to user feedback.

Qwen-Agent is an Agent framework built on Qwen>=2.0, equipped with capabilities for instruction following, tool usage, planning, and memory. The framework showcases example applications such as browser assistants, code interpreters, and custom assistants. The primary advantages of Qwen-Agent include its high scalability and modular design, allowing developers to integrate various tools and functionalities as needed. Background information indicates that Qwen-Agent aims to provide developers with a robust toolkit for building and deploying applications based on large language models. Qwen-Agent is open-source on GitHub, enabling community contributions and collaboration.

PromptJailbreakManual is focused on AI jailbreak technology, offering a space for technical exchange and sharing of jailbreak techniques. It represents the application of AI technology in the jailbreak domain, emphasizing the importance and innovation of the technology. The platform is initiated by Acmesec, aiming to collaboratively explore and break through the limitations of AI through open-source cooperation. Currently, it is provided free of charge to technology enthusiasts and professionals for communication and learning.

An open-source npm library that offers free usage of Llama 3.2 Vision for OCR, supporting both local and remote images, with plans to support PDF files. Inspired by Zerox, it provides both free and paid interfaces.

DataChain is a contemporary Python data frame library tailored for artificial intelligence. It is designed to organize unstructured data into datasets and process data at scale on local machines. DataChain does not abstract or hide AI models and API calls but facilitates their integration into modern data stacks. The product's main advantages include its efficiency, ease of use, and powerful data processing capabilities, supporting a variety of data storage and processing methods, including images, videos, text, and more, while seamlessly interfacing with deep learning frameworks like PyTorch and TensorFlow. DataChain is open-source and follows the Apache-2.0 license, making it freely available for users.

Browserbase is a web browser designed for AI agents and applications, offering features like seamless integration, scalability, speed, security, observability, and invisibility. It allows users to run and manage headless browsers without the need to maintain their own browser infrastructure. Browserbase supports Playwright, Puppeteer, or Selenium, enabling developers to integrate easily without altering existing code. Background information shows that Browserbase is trusted by pioneers and visionaries, providing a transparent pricing strategy.

GitHub Spark is an AI-driven tool designed to enable users to create and share personalized micro-applications (sparks) without writing or deploying any code. This goal is achieved through tightly integrated components: a natural language editor, a hosted runtime environment, and a PWA-supported dashboard. The vision behind GitHub Spark is to make software personalization as straightforward as personalizing a development environment, empowering others to do the same. Key benefits of the product include no coding required, ease of sharing and personalization, and robust AI model support.