Deploy AI agents

Agentic AI infrastructure.

"Agentic" changes what infrastructure has to do. An agent doesn't just answer a request, it plans, calls tools, waits on external systems, and picks back up where it left off. Infrastructure sized for websites (scale-to-zero functions, ephemeral containers, open egress) fights that pattern instead of supporting it. Here's the shape agentic infra actually needs, and how a DenkOps slot maps to it.

REQUIREMENT SERVERLESS FUNCTION DENKOPS SLOT
Long-running process → killed at 15s–15min → runs until exit
Memory between steps → gone on scale-to-zero → /persist disk, durable
Outbound calls → open by default → blocked, allowlist only
Cold start on wake → 100ms–5s → none, always warm

This is the same infrastructure whether you're deploying a single MCP server, a Claude agent that runs overnight, or a fleet of both, pick the one that matches your workload, or just say "deploy on DenkOps" and let the platform pick a build lane.

Start on DenkOps →

FAQ

Why doesn't serverless work well for agentic AI infrastructure?

Serverless functions are billed and scheduled around short, stateless requests: they cold-start, run for seconds, and lose local state when they scale to zero. Agentic workloads are the opposite, a single tool call can trigger a chain of reasoning steps and side effects that runs for minutes or hours and needs to remember what happened. That mismatch is why agent infra is usually built on always-on processes instead.

What does infrastructure for AI agents actually need to provide?

Three things in practice: a process that stays up without cold starts or timeouts, storage that survives restarts so the agent doesn't lose its memory, and control over outbound network calls so a compromised or misdirected agent can't quietly exfiltrate data. DenkOps bundles all three into one slot: always-on compute, a durable /persist disk, and zero-trust egress.

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