A VLM can explain what it sees, but a useful AI Agent needs more than a prompt. It needs persistent context, approved tools, permissions, memory, observability and a clear boundary between reasoning and execution.
Deqa’s Agent Harness connects visual models and VLM reasoning to site metadata, customer systems and APIs. It decides which tool may be used, when a human must approve and which evidence must be retained.
The harness makes one intelligence core reusable across retail, logistics, manufacturing and field operations without turning every deployment into an ungoverned custom agent.
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