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Modern AI Chat Interface Built with Next.js, Tailwind CSS, and TypeScript for Ultimate User Experience

AI Agents, chat interface, multi-modality support, Next.js, real-time communication, Tailwind CSS, TypeScript

Discover a modern chat interface designed for AI agents utilizing Next.js, Tailwind CSS, and TypeScript. This user-friendly template is perfect for interacting with Agno agents and features a sleek design that supports real-time streaming, displays agent reasoning, and visualizes tool calls. It also offers multi-modality support, allowing users to handle various content types like images and videos. Customization is easy with Tailwind CSS, while the entire setup is built with a modern tech stack. Start your experience by setting up the Agno Playground for seamless integration and refer to the official guide for installation preferences. Contributions to the project are encouraged, providing opportunities for further development and collaboration.



A modern chat interface designed for AI agents is now available, making it easier to interact with Agno agents. Built using Next.js, Tailwind CSS, and TypeScript, this user-friendly template features a clean design for real-time communication with AI.

Features of the Chat Interface:
– Modern Chat Interface: A sleek design that supports real-time streaming.
– Tool Calls Support: Visualizes how agents use different tools and the outcomes of those interactions.
– Reasoning Steps: Offers insight into the decision-making processes of agents.
– References Support: Displays the sources of information used by the agents.
– Multi-modality Support: Accommodates various content types such as images, videos, and audio files.
– Customizable UI: Easily adaptable design thanks to Tailwind CSS.
– Built with Modern Stack: Incorporates tools like Next.js, TypeScript, and Framer Motion to ensure a high-quality experience.

Before setting up the Agent UI, it’s a good idea to have an Agno Playground running. If you need directions to set it up, check out the official guide available online.

For those interested in an automatic installation, simply run the command “npx create-agent-ui@latest” in your terminal. By following a few simple steps, including cloning the repository and installing necessary dependencies, you can have the development server up and running in no time.

Moreover, the Agent UI connects by default to “http://localhost:7777,” which works seamlessly with the standard Agno Playground setup.

This innovative project is open to contributions. If you’re eager to help improve the interface, refer to the guidelines in CONTRIBUTING.md on GitHub. The project is shared under the MIT License, welcoming developers to explore and enhance this exciting technology.

Engage with the future of AI interaction through this modern chat interface and discover its potential today!

Tags: chat interface, AI agents, Next.js, Tailwind CSS, TypeScript, Agno Playground, modern design, user experience

What is agno-agi/agent-ui?
Agno-agi/agent-ui is a modern chat interface for AI agents. It is built using Next.js, Tailwind CSS, and TypeScript. This combination makes it fast, user-friendly, and easy to customize.

How can I use agno-agi/agent-ui for my project?
You can use agno-agi/agent-ui by integrating it into your web project. It provides a flexible chat interface that can be tailored to meet your needs. You just need to follow the setup instructions in the documentation.

Is agno-agi/agent-ui easy to customize?
Yes, agno-agi/agent-ui is designed to be easy to customize. You can change the look and feel using Tailwind CSS, and you can modify the functionality with TypeScript. This flexibility allows you to create a chat interface that matches your brand.

What are the key features of agno-agi/agent-ui?
Key features of agno-agi/agent-ui include:
– A sleek, modern design
– Fast performance thanks to Next.js
– Full customization options with Tailwind CSS
– Compatibility with various AI agents

Is agno-agi/agent-ui suitable for all types of applications?
Yes, agno-agi/agent-ui is suitable for a wide range of applications, from customer support bots to interactive assistants. Its versatility makes it a great choice for any project needing chat functionality.

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