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Montage (M1)

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What is Montage (M1)?

Runtime framework for agentic UI — agents emit intent, Montage renders production components.

Montage is a runtime framework for agentic user interfaces. Instead of having an LLM regenerate every chart, table, kanban, or form token-by-token each turn, agents emit a small intent schema and Montage compiles it server-side into production components. The team reports 10x faster hydration and 50–100x fewer output tokens compared to token-streamed UI, with model-agnostic and framework-agnostic output themed to the host brand. Aimed at companies shipping customer-facing AI agents that want consistent, branded interfaces without the per-turn inference cost of full UI regeneration.

Key Features

Agents emit intent schema instead of streaming UI tokens
Server-side compile to production components
Reported 10x faster hydration vs token-streamed UI
Reported 50–100x fewer output tokens for the UI layer
Model-agnostic and framework-agnostic, brand-themed

Use Cases

Customer-facing AI agent products
Reducing inference cost for chart / table / form UIs
Consistent branded UI across LLM-driven product surfaces
agentic-uiui-frameworkai-agentsdeveloper-toolsinference-cost-reduction

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Frequently Asked Questions

What does Montage (M1) do?

Runtime framework for agentic UI — agents emit intent, Montage renders production components.

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