这不是个技术缺陷，但是却限制了整个系统的能力边界。Agent 可以做推理、规划、执行复杂任务，但就是记不住之前发生过什么。每次对话都像是第一次见面，这种状态下很难说它真正"理解"了什么。

Enterprises adopting AI cannot afford to be slowed by database lock-in. As the vector ecosystem evolves, the winners will be ...

For the past four months, over 130 malicious NPM packages deploying information stealers have been collectively downloaded ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

updated A security flaw in the Oat++ implementation of Anthropic's Model Context Protocol (MCP) allows attackers to predict ...

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The npm packages were available since July, have elaborately obfuscated malicious routines, and rely on a fake CAPTCHA to ...

By treating natural language as executable code, the platform aims to make AI-generated software reliable and maintainable.

The open-source monitoring tool Uptime Kuma has been released in version 2.0. It brings MariaDB support and new notification ...

Version 1.3 of the Bun JavaScript runtime and toolkit has landed, pushing forward the project's goal to consolidate ...

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微软在2025年10月正式发布了 Microsoft Agent Framework ，旨在简化和统一与大型语言模型（LLM）的交互方式，并提升AI代理的开发效率。这一框架的推出，标志着微软在AI Agent开发领域迈出的又一步。本文将聚焦于该框架中的一项关键功能—— 对话持久化 ，探讨其实现原理及对未来AI应用的影响。