Join the Hands-On Hermes Agent Workshop

· Source: To Data & Beyond · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Intermediate, quick

Summary

A live online workshop, "Hands-On Hermes Agent," is scheduled for Wednesday, 24 June, from 8:00 PM to 10:00 PM EEST, costing \$50 USD. This workshop will provide a deep dive into Hermes Agent, a persistent agent model designed to maintain identity, utilize memory, evolve skills, support multiple profiles, and execute repeatable workflows across messaging interfaces. The curriculum covers Hermes Agent's architecture, the `SOUL.md` identity layer, its memory system, self-evolving skills, the Curator, GEPA, installation procedures, and practical applications like creating agents, managing multiple profiles, and implementing coding, research, and Telegram workflows. It also addresses scheduling with cron, best practices, limitations, and risks associated with persistent agents. The goal is to equip attendees with a working Hermes Agent setup and a practical understanding of its capabilities beyond simple chat.

Key takeaway

For AI engineers or developers exploring persistent agents, this workshop offers a direct path to understanding and implementing the Hermes Agent model. You will gain practical skills to set up a memory-aware agent, configure its identity, and build complex, scheduled workflows for coding, research, or messaging. This hands-on experience is crucial for moving beyond basic chatbot interactions and integrating advanced agent capabilities into your projects.

Key insights

Hermes Agent offers a persistent, memory-aware AI agent model for complex, repeatable workflows.

Principles

Method

The workshop outlines a method for setting up Hermes Agent, configuring its `SOUL.md` identity and memory, and implementing various workflows including coding, research, and messaging, with cron scheduling.

In practice

Topics

Best for: AI Engineer, Software Engineer, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by To Data & Beyond.