LangChain 详解 Deep Agents 记忆机制:上下文移出窗口但不删除
LangChain 新博客讲 Deep Agents 怎么管记忆:旧上下文挪出窗口但不删,长任务不降智。
LangChain 工程师 Jess Weng 发布新博客,讲解 Deep Agents 如何处理智能体长时运行的记忆问题。智能体运行越久,累积的指令、工具结果、文件和草稿越多,Deep Agents 团队指出这会拉低准确率和推理质量。Deep Agents 的做法是把旧上下文移出活动窗口但不删除,需要时再取回。全文已发布在 LangChain 官方博客。
How do agents remember? The longer an agent runs, the more it takes in (instructions, tool results, files, and drafts), which results in decreased accuracy and reasoning. Read how LangChain's Deep Agents harness addresses this by moving context out of the active window without deleting it ⤵️ Jess Weng @jess_weng18 New blog dropped 👀 langchain.com/blog/context-e… p 🔗 View Quoted Tweet 💬 7 🔄 0 ❤️ 19 👀 1968 📊 7 ⚡