Context Engineering for Agents

LangChain · Beginner ·🤖 AI Agents & Automation ·10mo ago
Agents need context (e.g., instructions, external knowledge, tool feedback) to perform tasks. Context engineering is the art and science of filling the context window with just the right information at each step of an agent’s trajectory. In this video, we break down some common strategies — write, select, compress, and isolate — for context engineering by reviewing various popular agents and papers. We then explain how LangGraph is designed to support them! Blog: https://blog.langchain.com/context-engineering-for-agents/ Video notes: https://mirror-feeling-d80.notion.site/Context-Engineering-for-Agents-21f808527b17802db4b1c84a068a0976?source=copy_link Learn how to build with LangGraph on LangChain Academy: https://academy.langchain.com/collections/quickstart/?utm_medium=social&utm_source=youtube&utm_campaign=q4-2025_youtube-academy-links_aw
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