1. 多轮对话式的追问，在系统提示词中定义，“当用户任务意图不明确时，立即停止任务，请求用户补充任务意图”。这时候用户在新一轮的对话中补充完详情后，Agent会结合历史对话记录以及本次的输入，重新进行推理生成任务目标。

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 ...

Have you ever found yourself juggling between automated workflows and the inevitable moments where human input is required? It’s a common challenge in today’s increasingly automated world—balancing ...

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.