Bitmart Research發布了有關創新MCP+AI代理框架的全面報告

Bitmart Exchange的研究部門Bitmart Research已發布了有關創新的MCP+AI代理框架的詳細報告，這是AI應用程序的新範式。該報告深入研究了模型上下文協議（MCP）的進步

BitMart Research, the research arm of BitMart Exchange, has released a new report highlighting the innovative MCP+AI Agent framework, a paradigm shift in the realm of AI applications. The report, "Deep Dive: Model Context Protocol (MCP) and Its Integration with Encrypted AI Agents," delves into the advancements of the Model Context Protocol (MCP) and its integration with encrypted AI Agents.

Bitmart Exchange的研究部門Bitmart Research已發布了一份新報告，強調了創新的MCP+AI代理框架，這是AI應用領域的範式轉變。該報告“深度潛水：模型上下文協議（MCP）及其與加密AI代理的集成”，深入研究了模型上下文協議（MCP）的進步及其與加密AI代理的集成。

The researchers explain that traditional chatbots utilized generic dialogue models with limited persona settings, leading to monotonous and impersonal responses. To enhance user experience, developers introduced the concept of "persona," imbuing AI with specific roles, personalities, and speech patterns to better align responses with user expectations. However, even with well-defined personas, these systems remained passive responders incapable of proactively executing tasks or handling complex operations.

研究人員解釋說，傳統的聊天機器人利用具有有限角色環境的通用對話模型，從而產生單調和非個人反應。為了增強用戶體驗，開發人員介紹了“角色”的概念，以特定的角色，個性和語音模式為AI添加了AI，以更好地與用戶期望更好地保持響應。但是，即使有明確的角色，這些系統仍然無力地執行任務或處理複雜操作。

This limitation motivated the creation of the open-source project Auto-GPT, which enables developers to define a suite of tools and functions for AI systems. By registering these tools within the framework, Auto-GPT can generate operational commands based on predefined rules and

這種限制促使創建開源項目自動GPT，該項目使開發人員能夠為AI系統定義一套工具和功能。通過在框架中註冊這些工具，自動GPT可以基於預定義的規則和