Deploy Self-Evolving Agents for Faster, More Secure Research with a Hermes Agent and NVIDIA NemoClaw | NVIDIA Technical Blog
Jun 2, 2026

Summary
This post details the deployment of self-evolving AI agents using Hermes Agent and NVIDIA NemoClaw. It showcases how to securely integrate internal data (Outlook, Slack) with public data (GitHub, NVIDIA developer forums) using the OpenShell runtime, which enforces network policies and brokers credentials. A key contribution is the demonstration of agent self-improvement, where agents learn new skills (e.g., formatting daily digests) and persist them across deployments via snapshots, enabling faster and more secure research.
More from the Agentic AI Infrastructure Acceleration with BlueField DPUs trail
- Building Reliable Data Analytics Agents: Lessons from the KDD Cup | NVIDIA Technical Blog
- Validate AI Factory Changes with Digital Twins and AI Agents | NVIDIA Technical Blog
- Scaling Decision Optimization to 100 Million Variables and Beyond with mPDLP in NVIDIA cuOpt | NVIDIA Technical Blog
- Build Applications on NVIDIA BlueField Faster with NVIDIA DOCA Agent Skills | NVIDIA Technical Blog
- Tracing Agent Harness Behavior with NVIDIA NeMo Relay | NVIDIA Technical Blog