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What is Starlette?

Starlette includes an application class named Starlette that seamlessly combines its various features and functionalities. It employs a set list of middleware that activates with each request that comes in. Importantly, every Starlette application automatically includes two essential middleware classes: ServerErrorMiddleware, which acts as the outermost layer to capture any uncaught errors during the entire processing sequence, and ExceptionMiddleware, which is the innermost layer responsible for managing exceptions that occur during routing or endpoint operations. Additionally, both the startup and shutdown handler callables are designed to be parameter-free and can be implemented as either standard or asynchronous functions, offering flexibility in how they are deployed. This architecture guarantees that developers can effectively manage error handling and the lifecycle of their applications, ensuring a smoother operational experience. Such a structured approach allows for more resilient application performance and better debugging capabilities.

What is AG-UI?

AG-UI is a streamlined and open protocol designed for event-driven communication, providing a standardized way for AI agents to connect with user-centric applications. Its architecture prioritizes user-friendliness and flexibility, enabling effortless integration among AI agents, real-time user contexts, and diverse user interfaces. This protocol significantly improves the interaction between agents and humans by allowing backend systems to produce events that conform to AG-UI’s established event categories during the operations of the agents, as well as accepting simple inputs that are compatible with AG-UI. AG-UI functions effectively with various event transport mechanisms, including Server-Sent Events (SSE), WebSockets, webhooks, and additional streaming methodologies, featuring a versatile middleware component that ensures compatibility across multiple environments. Furthermore, AG-UI's integration of agents into applications focused on user engagement enriches the overall agent-centric protocol framework: while MCP provides agents with crucial functionalities, A2A promotes communication among agents, and AG-UI specifically connects agents to user interfaces. By adopting this holistic strategy, AG-UI plays a vital role in fostering enhanced interactions between users and AI technologies, ultimately paving the way for more intuitive user experiences. The adoption of AG-UI marks a significant step forward in the evolution of human-AI collaboration.

Media

Media

Integrations Supported

Agent Development Kit (ADK)
Agno
AppSignal
CrewAI
LangGraph
LlamaIndex
Mastra AI
Model Context Protocol (MCP)
PydanticAI
Python

Integrations Supported

Agent Development Kit (ADK)
Agno
AppSignal
CrewAI
LangGraph
LlamaIndex
Mastra AI
Model Context Protocol (MCP)
PydanticAI
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Starlette

Company Website

www.starlette.io

Company Facts

Organization Name

AG-UI

Company Location

United States

Company Website

ag-ui.com

Categories and Features

Categories and Features

UX

Animation
For Mobile
For Websites
Heatmaps
Prototyping
Screen Activity Recording
Unmoderated Testing
Usability Testing
User Journeys
User Research

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