想了解LangChain的自我改进Agent和Clay的评估工具？这场线下Meetup有干货，Palash和Clay团队亲自讲原理和实现。
Palash Shah将分享如何利用LangSmith Engine构建自我改进Agent，将生产追踪转化为持久记忆更新以持续优化Agent行为。Clay团队将展示其Agent评估框架（eval harness）的实现细节。活动由LangChain和Clay联合主办，在Luma上开放RSVP报名。
Join us for a LangChain + Clay meetup with @palashshah, @jeffbarg, Vyshu Khota, and Soroush Khadem. ...
Join us for a LangChain + Clay meetup with @palashshah , @jeffbarg , Vyshu Khota, and Soroush Khadem. luma.com/jqif2hti Palash will break down how he built a self-improving agent at LangChain, LangSmith Engine. He'll dive into how the agent turns production traces into durable memory updates that continuously improve an agent's behavior. Then, the Clay team will give us a peek into how they built out their agentic eval harness, and more. Interested in attending? RSVP while spaces last. 💬 2 🔄 2 ❤️ 8 👀 3657 📊 3 ⚡