DeepAgents 内置记忆功能发布
memory comes built into deepagents!
LangChain 为智能体添加了缺失的记忆层，让它们能从每次运行中学习并改进。
DeepAgents 发布了内置记忆功能，使智能体能够保存长期记忆和可重用技能。该功能通过运行任务、保存有效经验、在下次运行中加载经验三个步骤实现。这一功能解决了智能体每次都从零开始的问题，提高了任务执行效率。
memory comes built into deepagents!
memory comes built into deepagents! Gipp 🦅 @gippp69 holy sh*t. this is f**king insane. langchain just documented the missing memory layer for agents that are supposed to improve after every run. instead of stuffing everything into one giant prompt, deep agents can keep long-term memory, reusable skills and lessons from previous tasks. [it takes a few minutes to understand the loop] 1/ run the task 2/ save what actually worked 3/ load that lesson into the next run that’s how an agent stops starting from zero every single time. Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 2 🔄 1 ❤️ 3 👀 958 📊 2 ⚡