Business Software for TypeScript

Liona empowers organizations to securely distribute AI provider keys, including those from OpenAI, Anthropic, Grok, and Gemini, to users and employees while ensuring robust security measures are in place. It facilitates direct user access to AI providers while allowing organizations to retain oversight over security protocols, billing processes, and usage caps. Liona presents two deployment models: one tailored for developers, offering robust API integrations that eliminate backend complexities and simplify the development of AI-enhanced features; and another aimed at employees and teams, which provides enterprise-level AI governance with unified control and transparency. The platform features a comprehensive dashboard for monitoring real-time usage, implementing detailed access controls, setting spending limits, and managing users effectively. Moreover, Liona seamlessly integrates with a variety of tools and frameworks, enhancing the integration of AI workflows. This versatility makes Liona an essential asset for organizations looking to leverage AI technologies securely and efficiently.

The latest update to Grok Studio introduces exciting new features, including code execution and Google Drive integration. Users can now generate and collaborate on documents, code, reports, and browser games within a dedicated window, making it easy to work alongside Grok in real-time. With the code execution feature, Grok users can run and preview code in languages like Python, JavaScript, C++, Typescript, and Bash, providing instant feedback and results. The Google Drive integration allows users to seamlessly attach and interact with files from their Drive, such as documents, spreadsheets, and presentations, making Grok an even more powerful tool for content creation and collaboration.

NocoBase is an open-source, self-hosted no-code development platform that prioritizes extensibility, aimed at helping developers and technical teams quickly create and tailor intricate business systems. Its data model-driven architecture effectively separates the user interface from the underlying data structure, facilitating the generation of various blocks and actions for every table and record in limitless forms. Supporting primary databases, external databases, and third-party APIs as data sources, NocoBase provides a versatile foundation. The platform includes a WYSIWYG interface that allows users to effortlessly toggle between usage and configuration modes, enabling the design of interfaces akin to Notion. Additionally, all features are delivered as plugins through a microkernel architecture, which promotes significant customization across pages, blocks, actions, APIs, and data sources. Written in TypeScript and built on popular technology stacks like Node.js and React, NocoBase ensures both transparency and control in development, making it a powerful tool for technical innovation. This combination of features positions NocoBase as an essential resource for teams striving to enhance their business processes efficiently.

WatermelonDB is a cutting-edge reactive database framework tailored for the development of robust React and React Native applications that can efficiently scale from a few hundred to tens of thousands of records while maintaining high speed. It guarantees immediate app launches, regardless of the amount of data, incorporates lazy loading to fetch data only when necessary, and features offline-first capabilities along with synchronization with your own backend systems. This framework is designed to be multiplatform. Specifically optimized for React, it facilitates uncomplicated data integration into components and is framework-agnostic, allowing developers to use its JavaScript API in conjunction with various other UI frameworks. Built on a solid SQLite infrastructure, WatermelonDB offers static typing through Flow or TypeScript, while also providing optional reactivity via an RxJS API. It effectively tackles performance challenges in complex applications by deferring data loading until explicitly requested and executing all queries directly on SQLite in a dedicated native thread, which ensures that the majority of queries are resolved almost instantly. Additionally, this innovative framework supports seamless data management, making it a versatile choice for developers aiming to enhance the performance and responsiveness of their applications.

Tiptap serves as an innovative, open-source rich-text editor framework aimed at developers who are creating contemporary, collaborative applications. It is built on ProseMirror and boasts a modular structure with more than 100 extensions, allowing for the development of customized editors that cater to diverse user requirements. With the integration of its open-source backend, Hocuspocus, Tiptap enables real-time collaboration, permitting multiple users to edit documents at the same time and offering features such as live cursors and offline editing capabilities. Additionally, Tiptap incorporates AI functionalities, including the content AI extension, which offers in-line text transformations and AI-generated suggestions to improve the content creation process. Developers can also enhance the editor’s capabilities with features such as commenting systems, document management, and the ability to import and export various formats like DOCX. The framework includes UI components and React templates that streamline the rapid development of editors that mimic the interfaces of popular applications like Notion or Google Docs, making it a versatile choice for developers. Ultimately, Tiptap stands out as a powerful tool that supports a wide range of applications, ensuring that developers can meet the evolving needs of their users efficiently.

Plate is a robust framework for rich-text editing within React, crafted to address intricate text editing requirements with ease. It is developed using Slate.js and TypeScript, delivering a customizable and extendable editing environment. The framework features an array of plugin packages that enhance various functionalities such as behavior, hooks, serialization, and normalization of the editor. These plugins are designed to be "headless," meaning they come without default styles, which empowers developers to apply their own styling preferences. Additionally, Plate incorporates state management through Zustand stores, offers custom hotkeys, and provides API methods and transformations accessible via editor.api and editor.transforms. Furthermore, it includes unstyled and accessible components rooted in Radix UI, forming a solid base for creating sophisticated design systems. For those desiring a visually engaging interface, Plate also supplies pre-designed styled components derived from shadcn/ui, which can be tailored to develop a unique, accessible, and aesthetically pleasing user experience. In essence, Plate not only meets functional editing needs but also prioritizes design flexibility and user accessibility.

Base UI is a collection of headless React components and fundamental hooks that grant developers full autonomy over the CSS and accessibility aspects of their applications. Derived from Material UI, these components are now offered as an independent package that maintains the same high engineering standards without necessitating the adoption of Material Design principles. The library includes ready-to-use components equipped with functionalities suitable for production, as well as low-level hooks that enable the transfer of these functionalities to various components. With Base UI, developers can efficiently build upon core components using any preferred styling solution, eliminating the need to modify any preset style engines or themes. It simplifies several elements of UI development, such as accessibility, cross-browser compatibility, and event management, thereby allowing developers to concentrate on their design execution. The foundational skeletal components provided by Base UI facilitate the effortless application of custom styles, accommodating various styling approaches, including vanilla CSS and Tailwind CSS. This flexibility makes it easier for developers to create unique interfaces tailored to their specific project requirements.

Qwen3 is a state-of-the-art large language model designed to revolutionize the way we interact with AI. Featuring both thinking and non-thinking modes, Qwen3 allows users to customize its response style, ensuring optimal performance for both complex reasoning tasks and quick inquiries. With the ability to support 119 languages, the model is suitable for international projects. The model's hybrid training approach, which involves over 36 trillion tokens, ensures accuracy across a variety of disciplines, from coding to STEM problems. Its integration with platforms such as Hugging Face, ModelScope, and Kaggle allows for easy adoption in both research and production environments. By enhancing multilingual support and incorporating advanced AI techniques, Qwen3 is designed to push the boundaries of AI-driven applications.

Superexpert.AI is a collaborative open-source platform designed to empower developers to create advanced, multi-tasking AI agents without the necessity of coding. This platform facilitates the development of a wide range of AI applications, ranging from basic chatbots to highly sophisticated agents capable of managing numerous tasks simultaneously. Its extensible nature allows for the seamless integration of custom tools and functions, and it is compatible with multiple hosting services such as Vercel, AWS, GCP, and Azure. Among its features, Superexpert.AI includes Retrieval-Augmented Generation (RAG) for optimized document retrieval and supports various AI models, including those from OpenAI, Anthropic, and Gemini. The architecture is built using modern technologies like Next.js, TypeScript, and PostgreSQL, ensuring robust performance. Additionally, the platform offers an intuitive interface that simplifies the configuration of agents and tasks, making it accessible even for individuals without any programming background. This commitment to user-friendliness highlights a broader goal of democratizing AI development for a wider audience.

Mistral Medium 3 is an innovative AI model designed to offer high performance at a significantly lower cost, making it an attractive solution for enterprises. It integrates seamlessly with both on-premises and cloud environments, supporting hybrid deployments for more flexibility. This model stands out in professional use cases such as coding, STEM tasks, and multimodal understanding, where it achieves near-competitive results against larger, more expensive models. Additionally, Mistral Medium 3 allows businesses to deploy custom post-training and integrate it into existing systems, making it adaptable to various industry needs. With its impressive performance in coding tasks and real-world human evaluations, Mistral Medium 3 is a cost-effective solution that enables companies to implement AI into their workflows. Its enterprise-focused features, including continuous pretraining and domain-specific fine-tuning, make it a reliable tool for sectors like healthcare, financial services, and energy.

VoltAgent is a versatile open-source framework for TypeScript that empowers developers to create, tailor, and manage AI agents with unparalleled control, speed, and an exceptional developer experience. This framework equips users with a comprehensive set of tools designed for enterprise-grade AI agents, enabling the creation of production-ready solutions with cohesive APIs, utilities, and memory capabilities. One of its key features is tool calling, which allows agents to execute functions, communicate with various systems, and carry out specific actions. VoltAgent streamlines the process of switching between different AI service providers through a unified API, needing only a minor code modification. It also incorporates dynamic prompting, facilitating experimentation, fine-tuning, and the iterative development of AI prompts within a cohesive environment. Additionally, its persistent memory feature enables agents to save and retrieve past interactions, thereby improving their intelligence and contextual understanding. Beyond these capabilities, VoltAgent enhances collaborative efforts by employing supervisor agent orchestration, which enables the construction of robust multi-agent systems coordinated by a central supervisor agent managing specialized agents. This orchestration not only boosts efficiency but also allows for the creation of intricate workflows tailored to specific application needs.

Magic UI is a completely free and open source user interface library designed specifically for design engineers, featuring more than 150 animated components and effects that utilize React, TypeScript, Tailwind CSS, and Framer Motion. This library acts as an excellent complement to shadcn/ui, allowing developers to effortlessly craft visually striking landing pages and user interfaces. It boasts a wide array of components, including animated text, buttons, backgrounds, device mockups, and unique effects such as confetti and neon gradients. For those seeking even more, Magic UI Pro offers an additional 50+ professionally crafted blocks and templates suitable for various applications, including AI agents, developer tools, mobile applications, SaaS solutions, startups, and portfolios. These templates are built using React, Next.js, Tailwind CSS, and Framer Motion, ensuring both responsiveness and seamless animations, making it a valuable resource for enhancing web development projects. Overall, Magic UI stands out as a versatile tool that significantly simplifies the process of creating captivating interfaces.

Convex is a reactive backend platform that is open-source and allows developers to create full-stack applications solely using TypeScript. This platform features a document-relational database that employs TypeScript for writing queries and mutations, thereby promoting type safety and fostering smooth integration with frontend components. With Convex, real-time synchronization is automatically managed between the frontend, backend, and database states, removing the need for developers to handle state management, cache invalidation, or WebSockets manually. Additionally, it provides in-built functionalities such as cloud functions, scheduling, authentication, file storage, and an array of components that can be easily integrated using a simple npm install command. Developers have the capability to define their entire backend through code, encompassing database schemas, queries, and APIs, all of which benefit from type-checking and autocompletion, while AI can assist in generating code with remarkable precision. The architecture of Convex guarantees that all transactions are serializable, ensuring strong consistency and effectively eliminating race conditions. Overall, this platform simplifies backend development while enhancing developer productivity through its comprehensive TypeScript support.

UploadThing is a versatile, open-source solution for file uploads tailored specifically for full-stack applications using TypeScript. It streamlines the integration of file uploads by enabling developers to set up File Routes that define permitted file types, size limits, and the number of uploads allowed. The platform offers SDKs compatible with a range of frameworks, such as Next.js, Astro, SolidStart, SvelteKit, and Nuxt, along with backend support for Express, Fastify, H3, and more. Client-side file uploads are made easy through the use of components and hooks, allowing for smooth integration with popular frontend libraries like React and Vue. With a focus on both security and ease of use, UploadThing manages authentication on the developer's server while overseeing the file upload process on its own infrastructure. This method ensures that server-side authorization can be achieved without the burden of file processing on the developer's end, ultimately enhancing the overall user experience. Furthermore, this solution is ideal for developers seeking a reliable and efficient way to handle file uploads in their applications.

Agent Squad is a versatile and robust open-source framework created by AWS to facilitate the management of various AI agents and navigate intricate dialogues. This framework supports multi-agent orchestration, enabling efficient collaboration and utilization of several AI agents within a unified system. It is designed with dual language compatibility, being fully operational in both Python and TypeScript. Through intelligent intent classification, it adeptly directs inquiries to the most appropriate agent by considering both context and content. Additionally, Agent Squad accommodates both streaming and non-streaming outputs from various agents, providing adaptable responses. It effectively preserves and leverages conversation context across multiple agents, ensuring interactions remain coherent. The architecture is highly extensible, permitting straightforward integration of new agents or modifications to existing ones to meet particular requirements. Moreover, Agent Squad's deployment flexibility allows it to operate seamlessly on platforms ranging from AWS Lambda to local environments or any cloud service, making it a highly adaptable solution for various applications. Its design not only enhances collaborative efforts among agents but also optimizes user experience through efficient dialogue management.

Strands Agents SDK is an open-source development framework that allows developers to build and manage AI agents with precision and control. It supports both Python and TypeScript, making it accessible to a wide range of developers and use cases. Instead of relying on rigid workflows or orchestration layers, the SDK lets developers define tools as functions and rely on the model’s reasoning capabilities to drive execution. The platform works across any AI model or cloud environment, offering flexibility for deployment and scaling. One of its standout features is the use of steering hooks, which act as middleware to guide, validate, and correct agent actions in real time. It also includes support for multi-agent systems, enabling complex workflows through agent collaboration. Built-in memory management ensures context is maintained across long interactions without manual intervention. Developers can monitor performance through observability tools that provide detailed traces and metrics. The SDK also includes an evaluation framework for testing agent accuracy and behavior before deployment. Overall, Strands Agents SDK empowers developers to create reliable, scalable, and intelligent AI agents with minimal complexity.

Kibo UI is an innovative registry of customizable, accessible, and open-source components intended for integration with shadcn/ui. Utilizing cutting-edge technologies such as React, TypeScript, Tailwind CSS, Lucide, and Radix UI, Kibo UI equips developers with a comprehensive collection of functional and fully composable components that can be tailored and enhanced to meet individual project requirements. The catalog features a diverse range of components, including a color picker, image zoom functionality, a QR code generator, code blocks that support syntax highlighting and copy-to-clipboard capabilities, along with a dropzone for seamless drag-and-drop file uploads. Furthermore, Kibo UI offers precomposed and animated blocks that enable developers to launch their applications and websites swiftly; notable examples are an AI chatbot interface and a collaborative canvas designed for synchronous online teamwork. To further facilitate the development process, it includes a pricing page template that clearly outlines various plans and features, promoting both simplicity and transparency in presentation. Overall, Kibo UI is a valuable tool for developers seeking to enhance their projects with high-quality components while ensuring a user-friendly experience.

GitAuto is an AI-driven coding assistant that seamlessly connects with GitHub (and optionally Jira) to assess backlog tickets or issues, evaluate your repository's structure and code, and autonomously create and review pull requests, usually completing this process in around three minutes per ticket. It is capable of managing bug fixes, implementing feature requests, and enhancing test coverage. You can activate it through specific issue labels or selections on a dashboard, allowing it to write code or unit tests, initiate a pull request, execute GitHub Actions, and continuously rectify any failing tests until they succeed. Supporting ten programming languages, such as Python, Go, Rust, and Java, GitAuto is free for basic use, with paid plans available for those requiring a greater volume of pull requests and additional enterprise functionalities. Adhering to a strict zero data-retention policy, it processes your code through OpenAI without retaining it. Built to speed up delivery by allowing teams to address technical debt and backlogs without the need for extensive engineering resources, GitAuto functions as an AI backend engineer that drafts, tests, and refines code, thereby significantly enhancing development efficiency. This innovative tool not only streamlines workflows but also empowers teams to focus on more strategic tasks.

CreatorCube AI serves as an all-in-one creative platform that integrates top AI models such as OpenAI, Claude, Grok, ElevenLabs, Kling 2.0, and Perplexity into a cohesive, user-friendly interface designed for creators, builders, and designers. This platform allows users to effortlessly produce and manage a variety of multimodal content—including images, videos, audio, and text—through its modular AI tools that facilitate smooth prompting. Additionally, it features an asset manager that enables users to pin, compare, remix, and search for creative outputs, along with a “world feed” that allows for public sharing of content. Its pay-per-credit model ensures that users only pay for the services they utilize, while also accommodating guest users with complimentary tokens and future possibilities for building and sharing custom AI tools. Built using TypeScript, Next.js, and Supabase, CreatorCube AI offers integrated feedback channels and promotes a smooth, efficient workflow, fostering a collaborative environment for creative endeavors. With its innovative structure, it encourages users to explore their creativity without the burden of excessive costs.

DebuggAI is an innovative platform that harnesses artificial intelligence to simplify the debugging process, enabling developers to swiftly identify and fix coding problems through smart automation. With features like text-based test requests, secure local tunneling for localhost server testing, and visual reports that include GIF recordings, it significantly enhances the debugging experience. This versatile platform accommodates a variety of technologies such as Node.js, Next.js, React, TypeScript, JavaScript, Python, Django, and Vite, catering to diverse development environments. By allowing developers to create and execute tests with straightforward English commands, DebuggAI seeks to alleviate the challenges of end-to-end testing, ultimately boosting both efficiency and confidence in the software development lifecycle. Furthermore, its user-friendly interface and intuitive features empower developers to focus more on coding rather than troubleshooting, fostering a more productive work environment.

BaseRock.ai is an innovative platform specializing in AI-enhanced software quality that streamlines both unit and integration testing, allowing developers to create and run tests straight from their favorite IDEs. Utilizing cutting-edge machine learning algorithms, it assesses codebases to produce detailed test cases that guarantee thorough code coverage and enhanced quality. By integrating effortlessly with CI/CD workflows, BaseRock.ai aids in the early identification of bugs, which can lead to a reduction in QA expenditures by as much as 80% while also increasing developer efficiency by 40%. The platform boasts features such as automated test creation, instant feedback, and compatibility with a variety of programming languages, including Java, JavaScript, TypeScript, Kotlin, Python, and Go. Additionally, BaseRock.ai provides a range of pricing options, including a complimentary tier, to suit diverse development requirements. Many top-tier companies rely on BaseRock.ai to improve software quality and speed up the delivery of new features, making it a valuable asset in the tech industry. Its commitment to continuous improvement ensures that it remains at the forefront of software testing solutions.

LLM Gateway is a completely open-source, unified API gateway designed to efficiently route, manage, and analyze requests directed to various large language model providers such as OpenAI, Anthropic, and Gemini Enterprise Agent Platform, all through a single, OpenAI-compatible endpoint. It supports multiple providers, facilitating effortless migration and integration, while its dynamic model orchestration directs each request to the most suitable engine, providing a streamlined experience. Additionally, it includes robust usage analytics that allow users to monitor requests, token usage, response times, and costs in real-time, ensuring transparency and control. The platform features built-in performance monitoring tools that facilitate the comparison of models based on accuracy and cost-effectiveness, while secure key management consolidates API credentials under a role-based access framework. Users have the flexibility to deploy LLM Gateway on their own infrastructure under the MIT license or utilize the hosted service as a progressive web app, with easy integration that requires only a change to the API base URL, ensuring that existing code in any programming language or framework, such as cURL, Python, TypeScript, or Go, remains functional without any alterations. Overall, LLM Gateway empowers developers with a versatile and efficient tool for leveraging various AI models while maintaining control over their usage and expenses.

Void is a fork of VS Code that serves as an open-source AI code editor and an alternative to Cursor, designed to give developers enhanced AI support while ensuring complete data control. It facilitates smooth integration with various large language models, including DeepSeek, Llama, Qwen, Gemini, Claude, and Grok, allowing direct connections without relying on a private backend. Among its core functionalities are tab-triggered autocomplete, an inline quick edit feature, and a dynamic AI chat interface that supports standard chat, a restricted gather mode for read/search-only tasks, and an agent mode that automates operations involving files, folders, terminal commands, and MCP tools. Furthermore, Void provides exceptional performance capabilities, including rapid file application for documents containing thousands of lines, comprehensive checkpoint management for model updates, native tool execution, and the detection of lint errors. Developers can effortlessly migrate their themes, keybindings, and settings from VS Code with a single click and choose to host models either locally or in the cloud. This unique combination of features makes Void an attractive option for developers seeking powerful coding tools while maintaining data sovereignty.

Payload is a versatile, open-source backend and headless CMS that utilizes Next.js, allowing teams to streamline their technology stack and create various applications, including content-oriented websites, headless e-commerce platforms, enterprise solutions, and digital asset management systems, all through a unified and customizable framework. Developers benefit from the ability to quickly launch new projects using npx create-payload-app, set up schemas with fully typed JavaScript configurations, and automatically generate REST APIs tailored to any supported database adapter. Meanwhile, marketers enjoy a sleek and intuitive admin UI that facilitates visual editing, live previews, localization, multi-tenancy options, white-label branding capabilities, and detailed access controls, along with authentication features and real-time RAG-ready vector embeddings without requiring manual input. Additionally, Payload provides advanced features for enterprises, such as Single Sign-On (SSO) for seamless user access, AI-driven auto-embedding functionalities, static A/B testing for performance optimization, and customizable publishing workflows to enhance content management efficiency. With its robust capabilities, Payload stands out as an ideal solution for teams looking to innovate and enhance their digital presence.

CodeSession serves as a collaborative platform for coding interviews and offers a web-based IDE that facilitates both real-time and take-home technical evaluations without necessitating any local installations. Supporting more than 40 programming and scripting languages, it allows interviewers and candidates to collaborate in a unified space equipped with features such as syntax highlighting, auto-formatting, and customizable code templates. Additionally, the platform includes live whiteboarding, seamlessly integrates take-home test delivery, and provides unlimited user seats along with permanent storage of interviews accessible through unique links, enabling reviews of all sessions at any time. Built for quick implementation, most teams can commence their interview process within just 15 minutes after signing up, with no need for extra infrastructure or external sites. CodeSession meticulously records every keystroke and drawing action, which simplifies the assessment of coding skills and problem-solving abilities, ultimately fostering a more productive interview experience. This comprehensive approach not only enhances collaboration but also ensures that all necessary tools are readily available for both interviewers and candidates.