Deploy AI agents
Agents and MCP servers don't behave like websites. They hold open stdio sessions, keep memory between turns, run unattended for hours, and reach out to APIs that need policing. DenkOps runs each one in an always-on slot built for exactly that shape of workload, not a request/response function squeezed into agent duty.
Start on DenkOps →A slot is a continuously running container with its own CPU and RAM. An MCP server's stdio connection or an agent's WebSocket stays open for as long as it needs to, there's no 15-second guillotine and no warm-up penalty on the first request after a quiet night.
Every slot mounts a local disk at /persist that survives redeploys, restarts and crashes. Conversation history, vector caches, or a scratch database file written with the @denkopsai/sdk store are still there when the agent wakes back up.
Agents that can call arbitrary tools are agents that can leak data or get hijacked into calling somewhere they shouldn't. On DenkOps all outbound traffic is denied unless you explicitly whitelist a domain, every allowed and blocked call is logged.
Add the marketplace, install the plugin.
Say "log in to DenkOps", click Approve. No token to copy.
Say "deploy on DenkOps". Live URL in one turn.
Host a Model Context Protocol server with a stdio or HTTP transport that stays connected instead of getting recycled between calls.
Run a Claude-powered agent overnight or on a long batch job, with no timeout cutting the run short.
The plugin flow: install, log in once, then just say "deploy on DenkOps" from inside your editor.
What agentic workloads actually need from infrastructure, and why request-based serverless falls short.
Building a plain API instead? See API hosting on DenkOps.