随着人工智能技术的快速发展，构建能够自主推理和执行复杂任务的智能体系统已成为当前研究的热点。ReAct（Reasoning + Action）智能体作为一种突破性的架构模式，成功地将语言模型的推理能力与外部工具的行动能力有机结合，为解决复杂的现实世界问题提供了 ...

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.