Jess Weng
Education Engineer · LangChain
Jess Weng is an Education Engineer at LangChain. She creates practical learning resources that help developers build with LangChain tools, including Deep Agents.
Recorded on
Beyond Simple Agents: Building with LangChain Deep Agents
with Aishwarya Srinivasan, Arvind Narayanamurthy
Build agents that can plan, manage context, and delegate work across longer tasks. Jess Weng explains LangChain Deep Agents, including memory, skills, summarization, context offloading, and subagents, and shows how these pieces support practical workflows.
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What you will learn
Understand Deep Agent architecture
See how an agent harness supports planning and execution across complex, long-running tasks.
Manage context over longer workflows
Use memory, skills, summarization, and context offloading to keep agents effective as tasks grow.
Delegate work to subagents
Break complex work into focused tasks and understand how Deep Agents coordinate delegated execution.
About this session
Build agents that can plan, manage context, and delegate work across longer tasks. Jess Weng explains LangChain Deep Agents, including memory, skills, summarization, context offloading, and subagents, and shows how these pieces support practical workflows.
Guest speaker
The Gen Academy
Hosted by Aishwarya Srinivasan and Arvind Narayanamurthy.
Aishwarya Srinivasan
AI Advisor / AI Educator
Co-Founder of The Gen Academy; AI educator with a 1.2M+ community. Former AI Developer Relations lead at Fireworks AI; built AI products at Google, Microsoft, and IBM. MS in Data Science, Columbia.
Arvind Narayanamurthy
Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM
Arvind brings a cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe, where he led data science teams and developed production-grade machine-learning solutions.