Inside LangSmith's No Code Agent Builder
Harrison Chase (CEO of LangChain) sits down with Brace (Applied AI) and Sam (PM) for a technical roundtable on LangChain's first no code agent builder. They share how business users and engineers alike can use the agent builder and dive into the Deep Agents architecture that powers the platform.
00:00 - Introductions and why LangChain built a no-code product
02:01 - What is Deep Agents? The architecture behind the builder
03:01 - Designing the UX: why not a workflow builder?
04:38 - Why use natural language for creating the agent
06:37 - Prompt instruction vs memory - are they the same?
08:16 - Chat and ambient agents
09:35 - Introducing triggers and agents in the background
12:27 - Human in the loop and interrupts
13:53 - Agent inbox
14:51 - Can I run LangSmith Agent Builder agents in LangGraph?
16:15 - Making building agents accessible to non-technical users
17:44 - Open questions and call for feedback
Read more about LangSmith Agent Builder: https://bit.ly/42XWDjC
Start building with LangSmith Agent Builder: https://smith.langchain.com/?utm_medium=social&utm_source=youtube&utm_campaign=q4-2025_youtube-links_aw
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Chapters (12)
Introductions and why LangChain built a no-code product
2:01
What is Deep Agents? The architecture behind the builder
3:01
Designing the UX: why not a workflow builder?
4:38
Why use natural language for creating the agent
6:37
Prompt instruction vs memory - are they the same?
8:16
Chat and ambient agents
9:35
Introducing triggers and agents in the background
12:27
Human in the loop and interrupts
13:53
Agent inbox
14:51
Can I run LangSmith Agent Builder agents in LangGraph?
16:15
Making building agents accessible to non-technical users
17:44
Open questions and call for feedback
🎓
Tutor Explanation
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