Building Deep Agents Tutorial With Langchain- Part 1 @krishnaik06
Building Deep Agents Tutorial With Langchain- Part 1  @krishnaik06
Uploaded January 2026 | Updated September 2026, 1 week ago
code link: drive.google.com/file/d/1SVjvgqvKfF-FPAIqpEZdKMQLhe13NLFD/view?usp=sharing
Blog: 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
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Building Deep Agents Tutorial With Langchain- Part 1

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