Implementing deepagents: a technical walkthrough

We recently released `deepagents`, a Python package making it easier to build "Deep Agents". This comes with built in sub agent support, a planning tool, a virtual file system, and detailed prompts.

In this video, we will walk through what exactly is the under the hood of Deep Agents!

Previous video on what deep agents are: https://www.youtube.com/watch?v=433SmtTc0TA
`deepagents` GitHub repo: https://github.com/hwchase17/deepagents

Learn how to build Deep Agents on LangChain Academy: https://academy.langchain.com/courses/deep-agents-with-langgraph/?utm_medium=social&utm_source=youtube&utm_campaign=q4-2025_youtube-academy-links_aw

Observe, evaluate, and deploy agents with LangSmith: https://smith.langchain.com/?utm_medium=social&utm_source=youtube&utm_campaign=q4-2025_youtube-links_aw