What Is AI Agent Infrastructure? The Runtime and Gateway Layers
AI agent infrastructure is the runtime an agent loop runs on plus the gateway primitives it acts through, with policy enforced at every tool call. A map of the nine categories.
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AI agent infrastructure is the runtime an agent loop runs on plus the gateway primitives it acts through, with policy enforced at every tool call. A map of the nine categories.
An AI-native cloud is the hosting and data slice an agent can provision by API: apps, Postgres, storage, functions, auth, compute, queues and sandboxes, gated by allow / ask / deny policies and a USD budget.
Keep the coding agent or orchestrator you already use. Point it at usenaive.ai/skill.md, reach every Naïve primitive as an MCP tool, and gate each one with allow, ask, or deny.
In Vetta the harness (the agent loop) is the layer you pick and the runtime is always managed. When to keep the default harness, when to bring your own, and what each choice does to cost per completed task.
Gate an AI agent's risky tool calls with an ask policy: the session pauses, a person approves it over a webhook, the dashboard or the CLI, and a USD budget caps spend regardless.
Six ways to cut an agent off on Naïve: interrupt or cancel the session, delete the vault credential, revoke the connection, revoke the API key, deny the tool. Why network-boundary injection makes each one instant.