NPM Plus
NPM Plus is an AI-native package manager designed specifically for JavaScript developers leveraging AI-powered editors. It operates as a professional MCP (Model Context Protocol) server that integrates seamlessly with popular AI coding environments such as Claude Desktop, Windsurf, VS Code, and Cursor. NPM Plus enhances traditional package management by enabling real-time package search, security vulnerability auditing, bundle size analysis, and dependency management through AI assistance. Supporting multiple package managers including NPM, Yarn, and pnpm, it empowers developers to maintain secure and optimized projects effortlessly. The platform is free to use and can be quickly set up within AI editors, allowing users to harness AI capabilities for smarter, faster, and safer JavaScript development workflows. By bridging AI tools with package management, NPM Plus transforms how developers interact with their dependencies, improving productivity and code quality.
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Puck
Puck is an open-source visual editor designed specifically for React applications. It empowers developers to seamlessly integrate powerful visual editing capabilities into their own React projects, enabling the creation of intuitive and dynamic content editing experiences. By leveraging Puck, teams can build next-generation content tools that simplify the process of managing and customizing UI components without sacrificing developer control or flexibility. The editor supports a highly customizable and extensible architecture, making it ideal for a wide range of use cases, from content management systems to complex web applications. Puck’s open-source nature encourages community collaboration and continuous improvement, ensuring it evolves alongside the React ecosystem. Its focus on developer experience and user-friendly interfaces helps bridge the gap between design and development, accelerating workflows and enhancing productivity. Overall, Puck serves as a robust foundation for building sophisticated visual editing solutions that integrate deeply with React’s component model.
Compozy
Compozy is a next-level agentic orchestration platform designed to empower organizations by automating and managing complex workflows involving multiple AI agents. It enables seamless coordination, task delegation, and execution across diverse AI systems, enhancing productivity and operational efficiency. By leveraging advanced orchestration capabilities, Compozy facilitates intelligent automation that adapts dynamically to evolving business needs. The platform is ideal for enterprises seeking to streamline processes, improve decision-making, and scale AI-driven initiatives without manual intervention. With a focus on agentic autonomy, Compozy supports sophisticated multi-agent collaboration, enabling users to orchestrate AI workflows that handle intricate tasks and workflows end-to-end. Its intuitive interface and robust architecture make it a powerful tool for developers, businesses, and AI practitioners aiming to harness the full potential of AI orchestration in real-world applications.
Autumn
Autumn is a streamlined and flexible platform designed to simplify pricing and billing for app founders, especially AI startups. By integrating directly with Stripe, Autumn enables users to effortlessly set up and manage complex pricing models with just a few functions. The platform supports tracking usage limits, managing feature entitlements, credits, and add-ons, providing comprehensive control over monetization strategies. Autumn’s intuitive approach reduces the complexity of payment infrastructure, allowing developers to focus on building their products rather than handling billing logistics. Its seamless integration and developer-friendly API make it an ideal solution for startups looking to scale efficiently while maintaining precise control over customer billing and feature access. Autumn effectively bridges the gap between product development and payment management, making Stripe easy and accessible for AI-driven businesses.
Tiny Code Share
Tiny Code Share is a privacy-first web application designed for developers who need to share code snippets instantly and securely. Unlike traditional code sharing platforms, Tiny Code Share operates entirely on the client side, ensuring that no code is ever stored on any server. This approach guarantees complete privacy and security, as all code remains within the user's browser and is shared via URL fragments. The platform supports automatic language detection and syntax highlighting, making shared snippets easy to read and understand. It is mobile responsive and open source, catering to developers who value simplicity, privacy, and efficiency. Tiny Code Share requires no user accounts or sign-ups, streamlining the sharing process while maintaining a strong focus on user privacy. Built with modern web technologies, it supports a wide range of programming languages including JavaScript, Python, Java, C++, and more, making it a versatile tool for developers across different coding environments.
VibeKit CLI
VibeKit CLI is a universal command-line interface wrapper designed to provide a robust safety layer for AI-powered coding agents such as Claude Code, Gemini CLI, Codex, and others. It enables developers to run any coding agent within a secure, isolated sandbox environment that ensures sensitive data redaction and comprehensive observability. By encapsulating coding agents in a controlled execution context, VibeKit CLI mitigates risks associated with data leaks, unauthorized access, and unintended code execution. This tool is essential for developers who want to leverage AI coding assistants securely, maintaining privacy and compliance while enhancing productivity. VibeKit CLI supports seamless integration with multiple AI coding agents, offering a consistent interface and enhanced safety features. It is open source under the MIT license and is maintained by Superagent Technologies Inc., emphasizing developer safety and security in AI-assisted software development workflows.
Maia Framework
Maia Framework is a specialized UI dashboard designed for reviewing and debugging tests of multi-agent AI systems. It provides developers and QA teams with a comprehensive interface to monitor, analyze, and validate the behavior of agentic AI before deployment. By focusing on multi AI agent interactions, Maia Framework helps ensure reliability and correctness in complex AI-driven workflows. The platform supports detailed test visualization, enabling users to track agent decisions, test outcomes, and potential issues in a streamlined and intuitive manner. This makes Maia Framework an essential tool for teams building sophisticated AI applications that require rigorous testing and debugging to maintain high-quality performance and safety standards.