LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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Retool is a modern AI-native application development platform designed to help teams build internal software quickly and efficiently. It enables users to create agents, workflows, dashboards, and full-stack apps using natural language prompts and visual tools. Retool connects directly to databases, APIs, vector stores, and AI models to ensure applications work seamlessly with existing systems. The platform allows teams to transform raw data into actionable tools such as dashboards, admin panels, and monitoring systems. With drag-and-drop UI building, code-level customization, and AI-assisted generation, Retool supports multiple development styles. Built-in workflows automate complex processes while maintaining auditability and security. Retool fits naturally into standard engineering stacks with support for CI/CD and version control. Enterprise-grade permissions and hosting options ensure sensitive data stays protected. Used by thousands of companies worldwide, Retool helps teams ship AI-powered software faster. It bridges the gap between idea and production with speed and control.
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OpenUI
OpenUI is a generative UI framework for AI agents that is open-source and licensed under MIT. Rather than relying on simple text, your agent utilizes OpenUI Lang, a streamlined language designed for progressive streaming, which OpenUI seamlessly transforms into dynamic user interfaces such as charts, tables, forms, cards, and layouts. The rendering process is inherently secure, ensuring that the model is restricted to only the components you have registered, preventing any execution of generated code and maintaining control over your design system. Its core architecture is framework-agnostic, supporting first-party runtimes for popular libraries like React, Vue, Svelte, and Angular, and comes equipped with pre-built chat interfaces and integrations for various tools including LangChain/LangGraph, the Vercel AI SDK, Mastra, Google ADK, assistant-ui, CopilotKit, AG-UI, and A2UI. According to its published benchmarks, OpenUI Lang is efficient, utilizing approximately half the tokens when compared to standard JSON UI formats, thereby enabling interfaces to stream with greater speed and reduced costs. Additionally, this efficiency not only enhances performance but also makes it a cost-effective solution for developers looking to create sophisticated user interfaces quickly.
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Huxly
Building a mobile app with Huxly starts with a plain-English brief, a Figma frame, or a starter template. The platform generates editable source files for Expo (React Native), Flutter, or SwiftUI. Users can review code, watch a live browser preview, and test SwiftUI builds on a streamed iPhone simulator. A Mac Companion can show the simulator locally while Huxly handles the build.
For apps that need data and server logic, Huxly connects to Supabase or Firebase and can generate authentication flows, API routes, webhooks, and edge functions. Backends live in separate GitHub repositories and deploy to the customer's Netlify, Render, or Railway account; server secrets stay off the device. RevenueCat and Stripe integrations support subscriptions and payments. Source code can be exported or synced with GitHub. Huxly also supports signed cloud builds, TestFlight testing, and App Store or Google Play submission. Developers can connect Claude Code, Cursor, ChatGPT, or Codex through Huxly's MCP interface to read files, make changes, rebuild, and inspect previews using their own AI subscription.
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