One post tagged with "daytona"

AI agents have become remarkably good at writing code. Running that code is where most teams stop.

And they are right to hesitate. An agent that can execute code on your infrastructure can also read your filesystem, call your internal APIs, exhaust your CPU, or exfiltrate data over the network. So teams end up in one of two places: they switch code execution off entirely and cap what their agents can do, or they build a one-off sandbox stack in-house, wire it to one agent framework, marry it to one vendor, and maintain it forever.

The Agent Kernel Execution Broker removes that trade-off. It is a vendor-neutral brokering layer that sits between your agents and the environments their code runs in, with security policy and access control enforced on every single execution.