assistant-ui is an open-source library designed for developers looking to integrate AI chat interfaces into their applications seamlessly. Utilizing Typescript and React, this library offers a collection of customizable components that streamline the process of crafting sophisticated chat UIs. With its versatile design based on shadcn/ui and Tailwind, assistant-ui ensures flexibility and ease of use, accommodating various design requirements. It features integrations with popular AI tools, allowing for the efficient deployment of AI-powered functionalities. Additionally, the library provides a ChatGPT-like interface, bringing advanced conversational experiences directly into your app. Ideal for developers focused on building modern, interactive interfaces, assistant-ui significantly reduces the time and effort required to create dynamic AI chat solutions.

assistant-ui is an open-source library designed for developers looking to integrate AI chat interfaces into their applications seamlessly. Utilizing Typescript and React, this library offers a collection of customizable components that streamline the process of crafting sophisticated chat UIs. With its versatile design based on shadcn/ui and Tailwind, assistant-ui ensures flexibility and ease of use, accommodating various design requirements. It features integrations with popular AI tools, allowing for the efficient deployment of AI-powered functionalities. Additionally, the library provides a ChatGPT-like interface, bringing advanced conversational experiences directly into your app. Ideal for developers focused on building modern, interactive interfaces, assistant-ui significantly reduces the time and effort required to create dynamic AI chat solutions.

Rig is a versatile and open-source Rust framework designed to streamline the development of applications powered by large language models (LLMs). With Rig, developers can enjoy a consistent API experience across a variety of LLM providers, simplifying integration and boosting productivity. It offers advanced AI workflow abstractions that facilitate the creation of sophisticated systems, ensuring that even complex AI applications are manageable. Rig emphasizes type-safe interactions, providing developers with the confidence to build robust and reliable applications. The framework empowers developers to create a wide range of projects, from basic chatbots to intricate Retrieval-Augmented Generation (RAG) systems and multi-agent setups. Rig's design prioritizes ease of use and efficiency, making it an ideal choice for developers aiming to leverage the full potential of AI in their software solutions.