Uploaded June 2026 | Updated September 2026, 2 weeks ago

---

github: github.com/krishnaik06/Deep-agents-With-Langchain
The easiest way to start building agents and applications powered by LLMs—with built-in capabilities for task planning, file systems for context management, subagent-spawning, and long-term memory. You can use deep agents for any task, including complex, multi-step tasks.
Deep Agents is an “agent harness”. It is the same core tool calling loop as other agent frameworks, but with built-in capabilities that make agents reliable for real tasks.

Timestamp

00:00:00 Introduction
00:02:31 what are Deep Agents
00:16:20 Project Implementation
00:21:56 Building Deep Agents With Langchain
00:43:45 Customize Deep Agents
00:46:04 Deep Agents vs Claude Agent SDK
00:59:34 Deep Agents Backend Agents.md
01:19:05 Context Engineering And Memory In Deep Agents
01:53:15 Skills In Deep Agents
02:17:55 Subagents In Deep agents
02:34:22 End To End Deep Agents Project
----------------------------------------------------------------------------------------------------
Learn from the best to be the best
krishnaik.in/liveclasses