Sandboxes contain where agents run. A control plane decides what they do.
Run agents? ACP lets you see, control, and price every tool call they make — allow/ask/deny policy, per-session cost, and a full audit log for Claude Code, Cursor, Codex, and OpenClaw, in one command:
curl -sf https://agenticcontrolplane.com/install.sh | bashGetting started → · see your first governed call → · free up to 5 agents · prefer fully on-device? add --local
A question that comes up in almost every conversation about ACP: “we already run our agents in Docker / a micro-VM / the harness’s sandbox — isn’t this redundant?”
Fair question. The answer is no, and the reason is worth being precise about, because the two layers get conflated constantly.
What a sandbox actually bounds
A sandbox — Docker, gVisor, a micro-VM like pi’s Gondolin, a cloud execution environment, or the sandbox built into Claude Code or Codex — is an OS boundary around where code runs. It confines files, processes, and network on that host. If the agent runs a malicious binary, hits a kernel exploit in a dependency, or rm -rfs its working directory, the blast stops at the boundary.
That is real protection, and nothing about a control plane replaces it. If an agent’s process is compromised below the tool-call seam — arbitrary syscalls from a poisoned dependency — you want the OS boundary. A control plane governs the call path; it is not a syscall filter.
What the sandbox can’t see
Here’s the gap: a sandbox has no opinion about actions made with valid credentials through legitimate channels. That’s most of what an agent does all day, and it’s where the expensive failures live.
- The agent that merges the wrong PR did it with your GitHub token, over HTTPS, through an egress rule you allowed. The sandbox let it through because letting it through is the sandbox working as designed.
- In the Amazon Q incident we recreated, the injected instruction had the agent delete cloud resources using the developer’s own permissions. Containerize that agent and the local wipe is contained — the
gclouddeletions still go through, because the credentials were mounted and the API calls were well-formed. - The run that cost $50 in a re-read loop never touched a file it shouldn’t have. No sandbox meters tokens.
- And when something goes wrong, the sandbox has no ledger. It can tell you the process exited; it can’t tell you which call did the damage, under whose identity, or why it was allowed.
There’s a second-order problem too. Sandboxes are configuration, and configuration drifts. When we read the source of fifteen harnesses and frameworks, we found CrewAI’s code interpreter silently falling back to in-process exec() when Docker isn’t present — fail-open on exactly the path that was supposed to be sandboxed. If the sandbox is the only layer, its silent absence is invisible. A control plane in the call path notices, because the calls are still there either way.
The split, stated plainly
The sandbox bounds the unauthorized. The control plane decides the authorized.
The sandbox protects the machine the agent is on. The control plane protects everything the agent can reach from it — your repos, your cloud, your customers’ inboxes, your model bill. One is a wall; the other is a decision at each door, with a record of every decision.
One workspace's denied calls, live in the activity log (Aug 18, 2026). None of these needed a sandbox to be stopped — and a sandbox would have stopped none of them. The Bash.rm row is the hardline floor: recursive delete of the root filesystem is blocked unconditionally, and no policy or approval can allow it.
They compose cleanly
The stack, inside-out: the model proposes an action → the harness turns it into a tool call → the control plane decides it → the sandbox contains its execution → whatever the call legitimately reaches beyond the sandbox is governed only by the decision that let it out.
Running ACP inside a sandbox costs nothing architecturally. The local hook is an ordinary process in the container; the cloud gateway needs only egress. pi’s docs tell you to containerize if you want a boundary — our pi extension runs happily inside that boundary and decides the calls before they run.
So: keep the sandbox. Tighten it, even. Then put a control plane at the seam it can’t see.