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Build a Shopping Assistant with Hermes

Tuesday, August 18, 11 AM ET

Key Takeaways

  • Learn how to use the Hermes Agent framework to automate tasks and build persistent, self-improving AI agents.
  • Understand the principles of effective agent architecture and how to apply them to real-world use cases.
  • Get hands-on experience building a functional shopping assistant from scratch using Hermes.

Your Presenter(s)

Nihal Kumar Kadri headshot

Nihal Kumar Kadri

AI Engineer

Nihal is an AI Engineer, where he works on building and deploying AI and machine learning systems. He is an active contributor to the AI developer community and works with emerging agentic frameworks, including Hermes. His hands-on approach to AI engineering focuses on applying AI to real-world automation and intelligent assistant use cases.

Why this matters

Building useful AI agents has historically required either a heavyweight framework or significant custom plumbing. Hermes Agent, the open-source agentic framework from Nous Research, changes that — giving AI engineers a persistent, self-improving foundation for building agents that learn, remember, and reuse skills across tasks. Whether you’re automating workflows or building intelligent assistants, Hermes offers a practical and powerful starting point.

In this code-along webinar, Nihal Kumar Kadri, AI Engineer, will walk you through how to build a shopping assistant using Hermes. You’ll explore how to architect effective agents, leverage Hermes’s persistent memory and skill system, and apply the framework to a real-world e-commerce automation use case. By the end of the session, you’ll have a working shopping agent and a solid foundation for building your own Hermes-powered workflows.

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