How We Built Self-Evolving Hermes Agents With NVIDIA NemoClaw @NVIDIADeveloper
How We Built Self-Evolving Hermes Agents With NVIDIA NemoClaw  @NVIDIADeveloper
Uploaded June 2026 | Updated September 2026, 2 weeks ago
Deploy a self-improving AI agent with NVIDIA NemoClaw and Hermes Agent.
In this demo, Sam Pastoriza spins up Hermes inside an NVIDIA OpenShell sandbox, wires it to Slack, Outlook, and GitHub, and teaches it a recurring report format through conversation — no code changes needed. Hermes writes the learned format as a reusable skill that persists across rebuilds and is available to the whole team.

OpenShell enforces network policies at the code level, keeping private data secure. The same pattern works for sales research, engineering triage, customer support, and more.

Read the full tech blog to follow along and access the open-source NemoClaw Community repository.

➡️ Learn more: nvidia.com/en-us/ai/nemoclaw
📝 Tech blog: developer.nvidia.com/blog/deploy-self-evolving-agents-for-faster-more-secure-research-with-a-hermes-agent-and-nvidia-nemoclaw
📥 NemoClaw Community repo: github.com/NVIDIA/nemoclaw-community

00:00 – Intro: NemoClaw Blueprint Overview
00:20 – NemoClaw Internal Deployment and Architecture
00:40 – Hermes Agent and Trust Boundaries
01:10 – Securing Agents with NVIDIA OpenShell Policies
01:40 – Deploying Hermes and Chatting via Slack
02:10 – Daily Issue Digests and Hermes Self‑Evolution
02:40 – Adding a TL;DR and Customizing the Digest
03:10 – Automatic Skill Creation in Hermes
03:40 – Using Learned Skills via Outlook Email
04:10 – Closing: Secure Hermes Agents with NVIDIA OpenShell

#AgenticAI #HermesAgent
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How We Built Self-Evolving Hermes Agents With NVIDIA NemoClaw

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