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Description

AG-UI is a lightweight and open protocol that focuses on event-driven communication, establishing a standardized method for AI agents to interface with applications aimed at users. Its design emphasizes ease of use and adaptability, facilitating smooth integration between AI agents, real-time user context, and various user interfaces. This protocol enhances agent-human interaction by allowing backend systems to emit events that align with the standard AG-UI event categories during agent operations, while also accepting straightforward AG-UI-compatible inputs. AG-UI operates seamlessly with multiple event transport methods, such as Server-Sent Events (SSE), WebSockets, webhooks, and other streaming solutions, incorporating a flexible middleware component that maintains compatibility across different environments. By integrating agents into user-oriented applications, AG-UI effectively complements the broader agent-focused protocol ecosystem: while MCP equips agents with essential tools, A2A facilitates inter-agent communication, and AG-UI specifically bridges the gap between agents and user interfaces. This comprehensive approach underscores AG-UI's pivotal role in enhancing interaction between users and AI technologies.

Description

Agent Communication Protocol (ACP) is an open standard created to solve interoperability challenges between AI agents operating across different frameworks and platforms. The protocol establishes a common communication layer using REST-based APIs, enabling agents to exchange information through familiar HTTP patterns. Organizations can use ACP to connect agents regardless of the underlying technology stack, reducing the need for custom integrations and framework-specific connectors. It supports both real-time and asynchronous communication models, making it suitable for simple requests as well as long-running workflows. ACP accommodates a wide variety of content types through MimeType-based messaging, allowing agents to share text, multimedia, and specialized data formats. The protocol also enables agent discovery, including scenarios where agents are offline or operating in disconnected environments. Developers can interact with ACP using standard HTTP tools or leverage official Python and TypeScript SDKs for faster implementation. By standardizing communication, ACP simplifies the development of multi-agent systems that collaborate across applications, departments, and organizations. The project is governed as an open initiative within the Linux Foundation ecosystem, encouraging community-driven innovation and broad industry adoption.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

CrewAI Yes 
Model Context Protocol (MCP) Yes 
Agent Development Kit (ADK) Yes 
Agno Yes 
Brief No 
LangChain No 
LangGraph Yes 
LlamaIndex Yes 
Mastra AI Yes 
OpenUI Yes 
PydanticAI Yes 
Python No 
TypeScript No 

Integrations

CrewAI Yes 
Model Context Protocol (MCP) Yes 
Agent Development Kit (ADK) No 
Agno No 
Brief Yes 
LangChain Yes 
LangGraph No 
LlamaIndex No 
Mastra AI No 
OpenUI No 
PydanticAI No 
Python Yes 
TypeScript Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

AG-UI

Country

United States

Website

ag-ui.com

Vendor Details

Company Name

The Linux Foundation

Website

agentcommunicationprotocol.dev/

Product Features

UX

Animation No 
For Mobile No 
For Websites No 
Heatmaps No 
Prototyping No 
Screen Activity Recording No 
Unmoderated Testing No 
Usability Testing No 
User Journeys No 
User Research No 

Product Features

Alternatives

Alternatives

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Deep Agents

LangChain