NVIDIA NemoClaw and Hermes Agent Accelerate Secure AI Research

NVIDIA has unveiled a new blueprint for deploying self-evolving AI agents in research workflows, combining its NVIDIA NemoClaw platform with the open-source Hermes Agent from Nous Research. By integrating public and private data securely, this setup promises faster, more efficient research processes across platforms like Slack, Outlook, and GitHub, while addressing data security concerns.

Hermes Agent, first released in February 2026 by Nous Research, has already achieved significant developer traction, surpassing 103,000 GitHub stars within two months of launch. Its standout feature is GEPA, a self-improvement mechanism that enables the agent to refine its skills autonomously based on task repetition and user feedback. Benchmarks suggest that agents with 20 or more self-generated skills can perform repeated tasks up to 40% faster, making it particularly attractive for industries like customer support, competitive analysis, and internal knowledge discovery.

Using NVIDIA OpenShell as a secure runtime, the combination of Hermes Agent and NemoClaw allows organizations to integrate internal messaging systems like Slack and Outlook with external data sources such as GitHub. This architecture ensures that sensitive data remains protected, as credentials and authentication are managed within the sandbox, with public internet access strictly prohibited for sensitive components.

The workflow is designed for ease of deployment. Developers can bring up the open-source stack with a single command, configure integrations for messaging channels, and teach the agent new tasks directly through chat interactions without requiring code changes. For example, users can train the agent to generate daily summaries of GitHub issues in a specific format, which it will retain and apply across sessions. Skills and learned states persist across deployments via snapshot and restore mechanisms, ensuring continuity even as the underlying code or configurations are updated.

This integration is not limited to research tasks. The flexibility of Hermes Agent, combined with NVIDIA's secure infrastructure, supports applications in sales research, engineering triage, and even autonomous operational workflows like procurement automation. Its model-agnostic framework allows it to connect to various AI providers, including OpenAI-compatible APIs and self-hosted endpoints, giving users control over data and costs.

For those looking to get started, NVIDIA has provided detailed setup instructions in the NemoClaw Community repository. Prerequisites include a Docker-supported host, an NVIDIA API key, and credentials for at least one messaging integration. The example use case ships with prebuilt skills and policies, which can be customized for specific organizational workflows.

As AI agents become increasingly pivotal in automating complex workflows, the combination of Hermes Agent and NVIDIA NemoClaw positions itself as a robust solution for organizations prioritizing both efficiency and security. With its self-improving capabilities and open-source accessibility, it sets a new benchmark for the deployment of autonomous agents in real-world scenarios.