> Markdown version of [/events/world-congress-2026-north-america/sessions/1694-deepagents-build](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1694-deepagents-build). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# DeepAgents: Build Multi-Agent AI Systems That Actually Work


- **Event:** World Congress 2026 North America

## Description

We've taught LangChain and LangGraph multi-agent workshops at Grace Hopper two years running to 200+ developers each time. The number one question we get after every session: "This works in a demo — but how do I get past the walls when I try to scale it?"
We know those walls firsthand. We've built agentic AI systems across POCs and production in global banking — and between us, we've hit every failure mode: agents losing context mid-task, orchestration logic that doesn't survive real workloads, and delegation patterns that look clean on a whiteboard but collapse under pressure.
DeepAgents is a new LangChain framework built to solve exactly these problems — intelligent delegation, advanced planning, robust context preservation, and error recovery designed for production-grade workflows. In this 120-minute hands-on workshop, we'll build a real multi-agent system together in GitHub Codespaces — no setup, no installs, just code.
Through guided labs, you'll architect a coordinator that delegates research to one agent, analysis to another, and synthesis to a third. You'll implement human-in-the-loop approval gates, long-term memory, and the error recovery patterns that separate prototypes from systems that survive production. We'll be honest about what's battle-tested and what's cutting-edge — because that's the conversation practitioners actually need.
What you'll walk away with: a portfolio-ready multi-agent system you built yourself, production skills across backends, subagents, coordinators, memory, and debugging, a complete code repository with reusable templates and documentation you can extend immediately, and the framework decision-making to know when LangChain chains, LangGraph, or DeepAgents is the right tool for your problem.
Bring a GitHub account and a browser. Leave with production-tested patterns.

## Speakers

### [Anagha Rumade](https://www.wearedevelopers.com/@anagha-rumade)

Vice President - Applied AI/ML Lead at JPMorgan Chase
### [Anjana Umapathy](https://www.wearedevelopers.com/@anjana-umapathy)

Vice President - Applied AI ML Lead, Manager at JPMorgan Chase
### [Apoorva Jaiswal](https://www.wearedevelopers.com/@apoorva-jaiswal)

Vice President - Applied AI ML Lead at JPMorgan Chase & Co.


## Related talks at this congress

- [From Idea to Production with AI: Agentic Development in Practice](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1418-from-idea-to) — Daniel Ostrovsky
- [Designing APIs That Survive AI Agents at Scale](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1714-designing-apis-that) — Phani Pendurthi
- [Agents That Own Their Inference: Building Production AI Agents on Dedicated GPUs](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1717-agents-that-own) — Duan Lightfoot
- [No Single Model to Rule Them All: Building Resilient AI Agents Across Open & Closed LLMs](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1671-no-single-model-to) — Emmanuel Acheampong

## Watch remotely

Can’t make it to San José? Watch this session live with Pro. You also get:

- All full videos, bookmarks, and playlists
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[See pricing](https://www.wearedevelopers.com/pricing)

## Links

- [Get tickets](https://www.wearedevelopers.com/world-congress-north-america/tickets)