AI agents are a powerful tool for synthesizing data to accelerate research, summarize information, and help teams make decisions faster. But combining internal data with public sources poses security challenges.
This post shares an open source example using Hermes Agent with NVIDIA NemoClaw for product research across Outlook, Slack, and GitHub. NVIDIA OpenShell enforces a security-approved runtime. The agent learns preferences and patterns, writing new memories and skills. The more users work with the agent, the better it gets.
While the integration points are specific to this use case (Slack, Outlook, and GitHub), the pattern of safely mixing public and private data in a self-improving agent is important for many use cases, including sales research, customer support, engineering triage, competitive analysis, and internal knowledge discovery.
You will learn how to:
Bring up the open-source NemoClaw stack with one install command.
