The Future of Agent UIs: Streaming Subagents in Real Time

Today’s AI agents don’t run in a straight line anymore.
They plan, delegate, and spin up multiple subagents in parallel.

But most UIs still show… a loading spinner.

In this video, Christian Bromann will show you how to build real-time interfaces for deep agent architectures using the new subagent streaming capabilities in LangGraph.

Instead of waiting for the final answer, you can now:
- Track each subagent as it runs
- See tool calls in real time
- Display progress and status per agent
- Build rich, transparent, and trustworthy AI experiences

We’ll walk through the new useStream updates in @langchain/langgraph-sdk, how the typed API works, and how to migrate existing apps with minimal changes.

If you’re building multi-agent systems, this unlocks a completely new class of UX.

🔗 Links:
Streaming Docs: https://docs.langchain.com/oss/javascript/deepagents/streaming/frontend
GitHub example: https://github.com/langchain-ai/langgraphjs/tree/main/examples/ui-react/src/examples/deepagent