linkgo

Montage — The runtime for agentic user interfaces vs Rivault: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Montage — The runtime for agentic user interfaces and Rivault — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

M

Montage — The runtime for agentic user interfaces

Montage

Freemium

A model-agnostic SDK that renders agentic, interactive UIs, hydrates artifacts faster, and reduces token usage across underlying models.

Key features

  • Model-agnostic SDK: A single SDK and runtime that works with any underlying model provider, enabling developers to render agentic UI components without locking into a specific LLM.
  • Agentic UI Rendering: Renders rich, interactive components (agentic widgets) that encapsulate agent behavior, state, and UI in a reusable format for web applications.
  • Faster Hydration: Optimized client/server hydration flow to initialize interactive artifacts quickly, reducing perceived latency for end users.
  • Token Usage Reduction: Built-in optimizations for prompt/state management that cut token usage across models, lowering operational costs and improving efficiency.
  • Stateful Artifact Management: Manages and persists the state and lifecycle of interactive artifacts and their events, simplifying developer handling of agent-driven UI.
  • Seamless Front-end Integration: Designed to integrate with common front-end workflows and frameworks, allowing easy embedding of agentic interfaces into existing apps.
  • Model Swapping and Fallbacks: Enables switching or combining different underlying models without reauthoring UI logic, supporting fallbacks and provider-agnostic strategies.
  • Developer Tooling: Provides developer-oriented APIs and runtime controls to debug, test, and tune agentic components and their interactions.
  • Single SDK to render rich, interactive agentic UI components
  • Runtime that hydrates interactive artifacts faster
  • Reduces token usage across underlying models
  • Model-agnostic operation that works with any underlying model
  • Focus on rendering agentic interfaces and interactive components

Best for

  • Embedding conversational, agent-driven widgets in web apps to handle complex, interactive user workflows without rebuilding front-end UI each time.
  • Prototyping agentic interfaces quickly using the single SDK to iterate on UI/agent behavior while swapping underlying models for evaluation.
  • Reducing LLM operational costs by leveraging Montage’s prompt and state optimizations to cut token usage across responses and background context.
  • Hydrating server-rendered interactive artifacts on the client for faster startup and seamless handoff from server logic to agent-driven interactions.
  • Integrating multiple model providers and failover strategies so applications can route requests to different models without changing UI code.
  • Managing long-lived, stateful agent interactions (e.g., multi-step assistants or tool-using agents) with built-in lifecycle and state management.
  • Build interactive agentic user interfaces with a single SDK
  • Embed agent-driven UI components into applications while minimizing token costs
  • Hydrate and rehydrate interactive artifacts quickly for responsive UX
  • Integrate agentic UI rendering on top of different underlying language models
View Montage — The runtime for agentic user interfaces details
Rivault logo

Rivault

Rivault

Freemium

A zero-knowledge vault that lets AI agents request sensitive data on demand, unlocked by Face ID or passkey and redacted after each task.

Key features

  • Zero-knowledge Vault: Sensitive data is encrypted client-side so Rivault never has access to the underlying values by default.
  • Per-request Auth: Every agent access triggers a fresh authorization request that you approve with Face ID or a passkey.
  • Deterministic Redaction: Data is scoped to a single task and redacted from the agent's context after completion.
  • Agent-agnostic Integration: Works with chat-based AI agents and Computer Use Agents that automate browser or desktop flows.
  • Ownership of PII: Store SSN, payment info, phone numbers, and emails once and reuse without leaving copies in session logs or memory.
  • Biometric Unlock: Face ID or passkey approval keeps the human in the loop for every sensitive field release.

Best for

  • Agent-driven Bookings: Approve passport and card details on-demand when an agent books flights or hotels.
  • Automated Form Fill: Let CUAs complete government or insurance forms without leaving PII in browser logs.
  • Customer Support Delegation: Grant scoped access to account numbers when an agent handles a service call for you.
  • Recurring Task Automation: Reuse stored credentials across many agent workflows without pasting them each time.
  • Enterprise Agent Deployments: Add a consent + audit layer for teams deploying agents that touch sensitive employee or customer data.
View Rivault details