LangGraph 设计的一个核心是：多智能体工作流本质上是图结构，而非线性链。早期 LLM 应用普遍采用"提示 → LLM → ...

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 ...

LangGraph has been used to create a multi-agent large language model (LLM) coding framework. This framework is designed to automate various software development tasks, including coding, testing, and ...

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.