如何让AI智能体（Agent）像人类一样拥有持久的记忆，从而在复杂的连续任务中保持上下文感知和深度理解？这已成为构建高级智能体的核心挑战。本文将深入探讨Agent Memory的核心概念，并聚焦于LangGraph框架下的长短期记忆实现，详解短期会话与长期知识的存储 ...

多数关于 LangGraph 和 Semantic Kernel 的比较文章已经过时。过去六个月里，两个框架分别进行了重大的更新，所以本文将梳理的是实际发生的变化、当前的代码形态，以及如何进行技术选型。 2026 年构建 Python AI Agent 的现实状况是：都足够成熟的可选框架有两个 ...

In the rapidly evolving field of artificial intelligence, LangGraph has emerged as a groundbreaking tool that is transforming the way advanced AI agents, particularly research agents, are developed.

What if you could build your own AI agent, one that operates entirely on your local machine, free from cloud dependencies and API costs? Imagine having complete control over your data, making sure ...