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 ...

把 AI agent 的逻辑拆分到多个独立运行的服务中，听起来复杂做起来也确实容易乱。LangGraph 的 RemoteGraph 特性算是一个干净的方案：本地编排器负责流程控制，远程图服务器承担具体计算，状态管理和控制流的职责边界清晰。 本文要构建的项目是一个循环数学引擎：本地图编排一个远程图：随机选择数学运算和生成随机数。编排器会以两种方式实现——顺序执行和并行执行——以便对比两者的取舍，方 ...

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.

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 ...

LangChain, the agent engineering company behind LangSmith and open-source frameworks that have surpassed 1 billion downloads, today announced a comprehensive integration with NVIDIA to deliver an ...