Building Deep Agents Tutorial With Langchain- Part 1

code link: https://drive.google.com/file/d/1SVjvgqvKfF-FPAIqpEZdKMQLhe13NLFD/view?usp=sharing Blog: https://krishcnaik.substack.com/p/building-deep-agents-with-langchain?r=6ah1nv&utm_campaign=post&utm_medium=web&triedRedirect=true Build agents that can plan, use subagents, and leverage file systems for complex tasks deepagents is a standalone library for building agents that can tackle complex, multi-step tasks. Built on LangGraph and inspired by applications like Claude Code, Deep Research, and Manus, deep agents come with planning capabilities, file systems for context management, and the ability to spawn subagents. ​ When to use deep agents Use deep agents when you need agents that can: Handle complex, multi-step tasks that require planning and decomposition Manage large amounts of context through file system tools Delegate work to specialized subagents for context isolation Persist memory across conversations and threads