Best Alternatives to Montage in 2025
Montage is a cutting-edge runtime framework for agentic user interfaces, designed to eliminate the inefficiency of AI agents generating UI token-by-token. Instead of streaming verbose UI code, Montage agents emit a compact intent schema that is compiled server-side into production-ready HTML/CSS/JS components. This approach delivers 10x faster hydration, 50-100x fewer output tokens, and seamless integration with any model or framework. While Montage is a powerful solution, developers may consider alternatives depending on their specific needs—such as simplicity, ecosystem, or real-time collaboration. Below are the best alternatives to Montage, each with its own strengths and trade-offs.
LangChain
LangChain’s suite of products supports AI development
LangChain is a comprehensive framework for building AI-powered applications, offering a wide range of tools for agent orchestration, memory, and integrations. While it doesn't focus on UI generation, it provides a robust foundation for building agentic systems that can be paired with front-end frameworks. If you need deep control over agent logic and a large ecosystem of integrations, LangChain is a strong choice, though it requires more manual UI work.
CopilotKit
CopilotKit is an open-source framework specifically designed for building AI copilots and agentic UIs. It offers pre-built React components, hooks, and a backend for managing agent interactions. Unlike Montage, CopilotKit focuses on integrating AI directly into existing React apps, making it ideal for teams already using React. It provides a faster time-to-market for chat-based copilots but may not offer the same token efficiency or server-side compilation as Montage.
Thesys
Thesys is a platform for building and deploying AI agents with a focus on enterprise-grade reliability and observability. It provides a visual builder and a runtime for orchestrating complex agent workflows. While it doesn't specialize in UI generation, Thesys excels at managing agent state, tool use, and scaling. If your priority is robust agent infrastructure rather than UI efficiency, Thesys is a compelling alternative.
Streamlit
Streamlit is a popular Python library for rapidly building data-driven web apps. It allows developers to create interactive UIs with minimal code, making it ideal for data scientists and ML engineers. Streamlit is not agentic by default, but it can be integrated with AI models to create simple agentic interfaces. It's simpler than Montage but lacks the token efficiency and server-side compilation, making it less suitable for high-performance agentic UIs.
Gradio
Gradio is another Python library for creating customizable UI components for machine learning models. It's widely used for demos and prototyping, offering a quick way to expose models via a web interface. Gradio supports chat interfaces and can be extended with custom components. However, it's not designed for complex agentic workflows and doesn't offer the same performance optimizations as Montage, making it best for lightweight use cases.
Chainlit
Chainlit is an open-source framework for building conversational AI applications with a focus on developer experience. It provides a Python-based environment to create chat interfaces with streaming, feedback, and multi-step interactions. Chainlit is simpler than Montage and integrates well with LangChain, but it lacks the server-side UI compilation and token efficiency, making it less suitable for high-performance agentic UIs.
Montage stands out for its innovative approach to agentic UI generation, offering unmatched token efficiency and fast hydration. However, the best alternative depends on your project's requirements. If you need a full agent framework, LangChain or Thesys are robust choices. For React-based copilots, CopilotKit is excellent. For rapid prototyping with Python, Streamlit and Gradio are user-friendly. Chainlit is a good middle ground for conversational apps. Evaluate your priorities—whether it's ecosystem, simplicity, or performance—to choose the right tool for your agentic UI needs.