OpenClaw and Hermes agree on what an agent is. They disagree on what controls it.
Summary
This article compares OpenClaw and Hermes as two different approaches to agent harnesses for AI systems. OpenClaw emphasizes the gateway and distribution across channels, while Hermes emphasizes persistent memory and skill refinement across sessions. The piece also explains how Microsoft, Nvidia, and other platform vendors are adding governance, identity, and observability layers around these agents. Enterprise buyers get a clear signal that agent runtimes, memory, and controls are becoming the next software buying decision, not just the underlying model.
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