The State of Agentic UI: Comparing AG-UI, MCP-UI, and A2A Protocols
Blog post from CopilotKit
CopilotKit, aiming to facilitate the development of intelligent, AI-native interfaces, initially launched its tools over 18 months ago with the objective of enabling developers to create deeply integrated, agentic UIs rather than just simple text-based bots. The company has been instrumental in advancing the concept of Agentic UI, which involves using AI agents to drive and interact with real-time UI elements in a more dynamic and visual manner. This approach enhances user experience by providing structured and interactive interfaces, as opposed to static text outputs, and it offers safer and more scalable solutions. Central to this development are various protocols like AG-UI, MCP-UI, and A2UI, each serving different aspects of generative UI, from real-time communication between agents and UIs to the rendering of structured UI components. CopilotKit supports a collaborative ecosystem where these protocols work together to transform AI-driven applications into interactive, visual, and structured experiences, positioning agents as first-class UI elements.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 16 | 6,078 | 475 | 167 | +14% |
| LLM | 5 | 4,317 | 755 | 247 | -18% |
| Real-time | 5 | 8,720 | 1,450 | 268 | +54% |
| AI Agents | 3 | 3,637 | 762 | 225 | -25% |
| Multi-agent systems | 3 | 515 | 139 | 73 | +44% |
| AI Coding Assistant | 1 | 818 | 252 | 109 | -25% |
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