docs: add research note on Apple container as an alternative backend
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Captures the surface area of the current Docker integration, how it maps to Apple's `container` framework, the dominant networking risk (pipelock multi-network attach), and the cost difference between a faithful port and a simplified VM-firewall variant. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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# Supporting Apple's `container` as an alternative backend
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Research into the cost and shape of adding Apple's `container` framework
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(per-container Linux microVMs on Apple Silicon, announced WWDC 2025) as
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an alternative backend alongside Docker. Motivated by the observation
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that Apple's tool gives VM-grade isolation "for free" on macOS — no
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Firecracker or Kata orchestration to deploy — and that the project's
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threat model already cares about the kernel boundary.
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## Summary
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Realistic effort: roughly two weeks of focused work for one person. The
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mechanical 80% (build / run / exec / cp) is a long-but-straightforward
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weekend. The remaining 20% is networking: the pipelock egress sidecar
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relies on Linux bridge-network multi-attach semantics that Apple's tool
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does not model the same way, and either has to be redesigned or
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simplified for the `container` path.
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The honest framing: a clean port of the easy parts plus a *different*
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networking story for the `container` backend (no sidecar, just VM-level
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firewall rules), end-to-end in 4–5 days. A faithful port that preserves
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pipelock semantics across both backends is closer to two weeks. Pick
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which version you want before starting.
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## Current Docker surface area
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The places claude-bottle shells out to `docker` today:
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- `build` — base image plus a per-cwd derived image
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(`claude_bottle/docker.py:67-103`).
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- `run` — with `--runtime`, `--env-file`, `-e`, `--name`, `--network`,
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and volume mounts (`claude_bottle/cli/start.py:217-261`).
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- `exec -it` / `exec -u 0` — for `claude` itself, file-ownership fixups,
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and SSH provisioning (`claude_bottle/ssh.py`, `claude_bottle/skills.py`,
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`claude_bottle/cli/start.py`).
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- `cp` — skills, SSH keys, the prompt file, the workspace `.git`,
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and the pipelock config
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(`claude_bottle/skills.py:73`, `claude_bottle/ssh.py:106`,
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`claude_bottle/cli/start.py:279`, `claude_bottle/pipelock.py:218`).
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- `network create` / `connect` / `inspect` / `rm` — bottle network plus
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multi-network attach for the pipelock sidecar
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(`claude_bottle/network.py`, `claude_bottle/pipelock.py:227`).
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- `create` / `start` / `rm -f` — pipelock sidecar lifecycle
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(`claude_bottle/pipelock.py:207-258`).
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- Misc preflight: `image inspect`, `ps -a -f name=^...$`, `info` for
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registered runtimes (`claude_bottle/docker.py`).
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## Mapping to Apple's `container`
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| Capability | `container` story |
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|---|---|
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| build / run / exec / images | Direct equivalents, OCI-compatible |
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| `cp` | `container cp` exists, but recursion semantics (trailing `./`) need verifying against the Docker behavior the codebase relies on |
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| `--env-file` | Needs verification; may have to translate to repeated `-e` flags |
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| `--runtime=runsc` | **Becomes a no-op.** Every container is already in its own VM, so gVisor is redundant. This is a win — `require_runsc` collapses or the manifest unifies the concept (see "Manifest" below). |
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| User-defined networks | Limited — fewer knobs than Docker bridge networks |
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| **Multi-attach: `network connect` to a running container** | **The hard one.** The pipelock sidecar pattern attaches to two networks. Apple's tool does not model that the same way. |
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## Effort breakdown
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Roughly two weeks for one person, split as:
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1. **Backend abstraction (1–2 days).** `claude_bottle/docker.py` is
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already a partial seam, but `claude_bottle/network.py`,
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`claude_bottle/pipelock.py`, `claude_bottle/ssh.py`,
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`claude_bottle/skills.py`, and `claude_bottle/cli/start.py` all call
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`subprocess.run(["docker", ...])` directly. Define a `Backend`
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protocol — `run`, `exec`, `cp`, `build`, `network_create`,
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`network_connect`, `inspect`, `rm` — route every call through it,
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keep Docker as the default impl. Mostly mechanical.
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2. **`container` backend impl (2–3 days).** The easy 80%: run, exec,
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build, image inspect, cp. Plus a `require_container()` analogous to
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`require_docker()`. Verify `container cp` recursion and `--env-file`
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support against actual binary behavior, not docs.
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3. **Networking and pipelock (3–5 days, dominant risk).** The egress
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sidecar design assumes Linux bridge-network semantics with multi-
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network attach. On Apple's tool the likely redesign is one of:
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- Run pipelock as a host-side process and have the bottle dial it
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directly via the host loopback. Simpler, but loses the "egress
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proxy is itself isolated" property.
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- Keep pipelock in its own VM and wire the bottle's egress through
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it via a different mechanism (port forwarding, shared network if
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the tool grows that capability). Closer to current semantics, more
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work.
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Either way this is real design work, not a port. Worth a separate
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PRD before code lands.
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4. **Manifest spec (½ day).** Collapse `runtime: "runsc"` and "use
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`container` backend" into a single `sandbox: "shared-kernel" | "vm"`
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field. Backend selection follows from the value. Documenting why the
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`runsc` knob disappears on the `container` path matters more than
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the code change.
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5. **Tests and docs (2–3 days).** The existing test suite mocks
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`docker`; needs equivalents for `container`. Document which features
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are macOS-only and what the `container` backend trades away
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(currently: pipelock semantics, possibly some network introspection).
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## The recommended split
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Two distinct paths, each with a clear cost/benefit:
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- **Faithful port (~2 weeks).** Both backends offer the same egress
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guarantees. Worth it if pipelock is load-bearing for the threat model
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and the project intends to support `container` as a first-class peer
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to Docker indefinitely.
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- **Simplified port (~4–5 days).** The `container` backend uses VM-level
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firewall rules instead of pipelock; documentation calls out the
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difference. Worth it if the VM kernel boundary is judged to make
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pipelock less critical on the `container` path anyway, and the goal
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is to get `container` working as an experimental backend without
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blocking on a redesign.
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The simplified path is probably the right starting point. The kernel
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boundary that `container` provides was the original motivation for
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exploring this in the first place; pipelock's value-add on top of a
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real VM is smaller than it is on top of shared-kernel Docker.
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## Recommendation
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Don't start the implementation before deciding which split is intended,
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and don't start any of it before the `Backend` abstraction lands. The
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abstraction makes the language choice reversible (per the
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`bash-vs-python-vs-go` note) *and* makes adding a second backend
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mechanical. Skipping it means rewriting the same call sites twice.
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