Build Self-Improving Agents: LangMem Procedural Memory Tutorial скачать в хорошем качестве

Build Self-Improving Agents: LangMem Procedural Memory Tutorial

Learn how to implement dynamic instruction learning in LLM agents using the LangMem SDK. This technical tutorial demonstrates automatic prompt optimization, enabling agents to learn and adapt behavior through user feedback. You will implement automated prompt refinement from conversation history so your agent can learn from actions, and then expand to apply it to a multi-agent system so the whole team can learn as it works. Chapters: [0:00] SDK overview and core architecture [0:18] What we're building [0:51] Initial email assistant implementation [1:48] Optimization loop integration [3:33] Initial multi-agent system [4:18] Multi-agent prompt learning [6:21] Technical summary See documentation: https://langchain-ai.github.io/langmem/ Source code: https://github.com/langchain-ai/langm... #LangGraph #AIEngineering #Agents