What is assistant-ui?
Building AI-powered chat into your application can be complex, requiring you to handle everything from streaming and auto-scrolling to accessibility and backend integrations. assistant-ui simplifies this process. It's an open-source TypeScript/React library designed to let you effortlessly add robust, customizable AI chat features to your frontend applications.
Key Features:
⚡️ Provide Comprehensive Chat UI Essentials: Offers a full suite of pre-built features including streaming, auto-scrolling, Markdown rendering, code highlighting, file attachments, and more.
⌨️ Enhance User Experience with Accessibility: Includes built-in keyboard shortcuts and accessibility features, ensuring a smooth and inclusive experience for all users.
🧩 Offer Flexible Component-Based Architecture: Provides primitive components inspired by libraries like shadcn/ui and cmdk, allowing for granular customization and control over the chat interface's appearance and behavior.
⚙️ Support a Wide Range of LLM Providers: Integrates seamlessly with major model providers like OpenAI, Anthropic, Mistral, Google Gemini, and many others, offering out-of-the-box compatibility. Also supports custom API integrations.
🔗 Enable Easy Backend Connections: Offers first-class integrations with popular agent frameworks like Vercel's AI SDK and LangGraph, streamlining the connection to your preferred backend and LLM providers. Allows use as a visualization layer atop custom backends.
✨ Generate Dynamic UIs: Map LLM tool calls and JSON responses to custom UI components, creating interactive and engaging user experiences.
🧰 Facilitate Frontend Tool Calls: Enables LLMs to directly interact with and trigger actions within your frontend application.
🙋 Incorporate Human-in-the-Loop: Supports human approvals and input collection, enabling seamless integration of human oversight into AI workflows.
📊 Provide Chat History and Analytics: Offers an optional "assistant-cloud" service, easily configurable via an environment variable, for managing chat history and gaining insights into user interactions.
Use Cases:
Rapid Prototyping: A startup wants to quickly test an AI-powered customer support feature within their existing web application. Using
npx assistant-ui init, they integrate assistant-ui into their project, leveraging the pre-built UI components and AI SDK integration to have a functional prototype running in hours, not days.Customized Chatbot for a Learning Platform: An online education company builds a personalized learning assistant. They utilize assistant-ui's composable primitives to create a unique chat interface that matches their brand's aesthetic. They integrate with LangGraph to connect to a custom-trained LLM that provides tailored learning recommendations.
Internal Tool with Human Oversight: A software development company builds an internal tool to automate code reviews. They use assistant-ui to display AI-generated code suggestions and incorporate the "human tool calls" feature to allow senior developers to approve or modify the suggestions before they are applied.
Conclusion:
assistant-ui empowers you to build sophisticated, customizable, and user-friendly AI chat experiences without getting bogged down in the complexities of UI development and backend integrations. It provides the flexibility and control needed to create truly unique and engaging AI-powered applications. It is already trusted by companies like LangChain, Stack AI, Browser Use, and Athena Intelligence.
More information on assistant-ui
Launched
2024-05
Pricing Model
Free
Starting Price
Global Rank
1015083
Follow
Month Visit
26.9K
Tech used
Cloudflare CDN,Next.js,Vercel,Gzip,HTTP/3,Webpack,HSTS
Top 5 Countries
22.03%
15.82%
15.14%
6.86%
4.95%
Canada
India
United States
Viet Nam
Germany
Traffic Sources
64.47%
19.54%
7.86%
6.96%
1.04%
0.09%
Direct
Search
Social
Referrals
Paid Referrals
Mail
assistant-ui was manually vetted by our editorial team and was first featured on September 4th 2025.
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