Montage

Montage 介绍

Montage is a runtime framework for agentic user interfaces that eliminates the inefficiency of AI agents generating UI token-by-token. Instead, agents emit a tiny intent schema which Montage compiles server-side into production-ready HTML/CSS/JS components. This results in 10x faster hydration, 50-100x fewer output tokens, and seamless integration with any model or framework.

典型使用场景

Customer-facing AI agents that need to render dynamic UI without high latency or cost

Developers building agentic experiences who want to reduce token consumption and inference bills

Startups creating AI-powered products that require consistent, branded UI across interactions

Platforms that want to decouple UI rendering from the AI model to avoid vendor lock-in

为什么适合初创团队

Startups building customer-facing AI agents need to minimize latency and token costs to deliver a smooth user experience without burning through their budget. Montage provides a ready-made solution that cuts inference bills drastically and allows teams to focus on agent logic rather than UI boilerplate. It also ensures brand consistency across all interactions, which is critical for early-stage companies establishing their identity.

常见问题

How does Montage reduce token usage?

Instead of generating UI token-by-token, your agent outputs a small intent schema that Montage compiles server-side into pre-built components, reducing output tokens by 50-100x.

Which AI models does Montage support?

Montage is model-agnostic and works with any LLM including Claude, GPT, Gemini, Llama, and custom fine-tuned models.

Which frontend frameworks are compatible?

Montage is framework-agnostic and supports React, Vue, Svelte, vanilla JavaScript, and mobile frameworks.

How do I get started?

Get started in minutes by creating an API key at usemontage.ai/get-started and following the docs at usemontage.ai/docs/overview. You can even hand the docs to your coding agent for automatic setup.

Is Montage suitable for small teams or startups?

Yes, startups benefit from lower inference costs, faster UI rendering, and the ability to maintain a consistent brand experience without reinventing UI on every interaction.