随着大型语言模型（LLM）驱动的自主代理（Agent）从学术走向应用，如何确保其行为的可靠性、安全性与可控性，已成为决定其能否在真实世界关键任务中落地的核心挑战。大语言模型能力虽然越来越强，但并非完美无缺，可能产生错误或不准确输出。当一个 ...

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 ...

The emerging field of AI orchestration just got an additional boost of confidence with the alpha release of LangChain’s two flagship platforms, LangGraph and LangChain version 1.0. Graduating to a 1.0 ...

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 ...

Have you ever found yourself wishing for a smoother, more intuitive way to interact with complex systems? Whether you’re a developer fine-tuning custom workflows or someone exploring the potential of ...