The Best AI Agent Resources You Should Know in 2025
Blog post from CopilotKit
In recent years, the development of AI agents has been revolutionized by the introduction of shared protocols like AG-UI, A2A, and MCP, which address previous challenges of integration and interoperability in real-world applications. AG-UI, developed by CopilotKit, facilitates seamless agent-user interaction by using Server-Sent Events (SSE) to stream structured JSON events, while A2A, a protocol from Google, standardizes agent-to-agent communication through JSON-RPC and SSE, enabling agents to collaborate without revealing internal states. MCP, introduced by Anthropic, offers a universal interface for connecting AI models to data sources and tools, functioning similarly to USB-C in hardware, and has seen significant security and functionality enhancements. ACP, another protocol, extends the communication capabilities to include interactions with humans and applications via a RESTful API. These protocols are advancing the AI agent ecosystem by providing standardized methods for interaction, thereby enhancing the scalability, reliability, and functionality of AI agents in various applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 35 | 5,121 | 359 | 143 | +28% |
| LLM | 13 | 4,688 | 764 | 235 | -9% |
| AI Agents | 12 | 3,159 | 623 | 196 | +13% |
| Multi-agent systems | 7 | 318 | 105 | 60 | -26% |
| Real-time | 5 | 5,669 | 1,214 | 278 | 0% |
| RAG | 4 | 1,275 | 229 | 102 | +9% |
| Observability | 2 | 2,239 | 438 | 146 | -6% |
| AI Model Fine-tuning | 1 | 685 | 143 | 77 | -23% |
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