chopratejas--headroom/wiki/persistent-installs.md

Persistent Installs

Headroom can now be installed as a durable local runtime instead of only being started ad hoc with headroom proxy or headroom wrap ....

Use the Python-native headroom install CLI when you want supported tools to keep talking to an always-on proxy at http://127.0.0.1:8787 and have wrap reuse or recover that deployment instead of starting a second ephemeral proxy.

Runtime matrix

Mode	What stays running	Primary entrypoint
Persistent Service	Native background service	headroom install apply --preset persistent-service
Persistent Task	Scheduled watchdog + on-demand runner	headroom install apply --preset persistent-task
Persistent Docker	Restartable Docker container	headroom install apply --preset persistent-docker
On-Demand CLI (Python)	Nothing after command exits	headroom proxy
On-Demand CLI (Docker)	Nothing after container exits	Docker-native wrapper / compose CLI
Wrapped (Python)	Proxy lasts for wrapped session	headroom wrap ...
Wrapped (Docker)	Containerized proxy + host tool session	Docker-native wrapper

Quick examples

Persistent service on the local machine

headroom install apply --preset persistent-service --providers auto
headroom install status

This installs a background service on the current machine, applies persistent tool wiring, and keeps the proxy healthy on port 8787.

Persistent watchdog task

headroom install apply --preset persistent-task --providers manual --target claude --target codex

This installs a scheduled recovery path instead of a traditional always-running service.

Persistent Docker

headroom install apply --preset persistent-docker --scope user --providers auto

This uses Docker's restart policy instead of an OS supervisor.

If you are using the Docker-native host wrapper instead of a Python install, you can now use headroom install apply|status|start|stop|restart|remove for the persistent-docker preset directly from the installed wrapper. Service/task installs and provider/user/system mutation flows still belong to the Python-native CLI.

Command surface

headroom install apply
headroom install status
headroom install start
headroom install stop
headroom install restart
headroom install remove

apply creates or updates a named deployment profile, stores its manifest under ~/.headroom/deploy/<profile>/manifest.json, applies reversible configuration changes, and starts the selected runtime.

Presets and runtime kinds

Presets

• persistent-service -> native service supervisor
• persistent-task -> scheduled watchdog / recovery supervisor
• persistent-docker -> Docker restart policy with no extra OS supervisor

Runtime kinds

• --runtime python runs headroom proxy directly
• --runtime docker runs Headroom inside Docker while keeping the deployment managed locally

For persistent-docker, the runtime is always Docker.

Configuration scopes

Scope	What changes
provider	Tool-specific config surfaces where Headroom can make a precise reversible edit
user	User-level shell or environment surfaces
system	Machine-wide shell or environment surfaces

Provider scope today

Provider scope is intentionally conservative. The current direct adapters are:

• Claude Code -> ~/.claude/settings.json env
• Codex -> managed block in ~/.codex/config.toml
• OpenClaw -> existing wrap openclaw / unwrap openclaw flow

For Copilot, Aider, Cursor, and broader env-driven setups, prefer --scope user or --scope system.

Provider selection

Option	Meaning
--providers auto	Detect supported tools on the host and configure the best available defaults
--providers all	Configure all known targets
--providers manual --target ...	Configure only the named tools

Examples:

headroom install apply --providers auto
headroom install apply --providers all --scope user
headroom install apply --providers manual --target claude --target copilot

Health and wrap behavior

Persistent deployments publish the same readyz and health endpoints as ad hoc proxy runs.

/health now also exposes deployment metadata when the proxy was launched through the install subsystem:

{
  "deployment": {
    "profile": "default",
    "preset": "persistent-service",
    "runtime": "python",
    "supervisor": "service",
    "scope": "user"
  }
}

The Python-native headroom wrap ... flow checks for a matching persistent deployment on the requested port before it starts a new ephemeral proxy. If an installed deployment exists but is stopped or unhealthy, it attempts to recover it first.

The Docker-native host wrapper does not yet reuse or recover persistent profiles automatically; it still starts a fresh proxy container unless you opt into --no-proxy.

Docker-native relationship

The Docker-native host wrapper and the Python install CLI solve different layers of the runtime story:

• Docker-Native Install -> containerized on-demand CLI, wrapped host-tool flows, and Docker-native persistent-docker lifecycle commands
• headroom install ... -> full persistent service, task, and Docker lifecycle management, including provider/user/system mutation

For a no-Python persistent Docker workflow, use the compose-managed proxy path from docker/docker-compose.native.yml:

export HEADROOM_HOST_HOME="$HOME"
export HEADROOM_WORKSPACE="$PWD"
docker compose -f docker/docker-compose.native.yml up -d proxy

That keeps localhost:8787 stable and restarts the proxy automatically.

Note: HEADROOM_WORKSPACE (the host-side bind-mount source used by the compose file) is not the same variable as HEADROOM_WORKSPACE_DIR (the canonical Headroom state root inside the container). Both are retained; the compose file sets the latter automatically. See Filesystem Contract for the full bucket model.

Related guides

• CLI Reference
• Docker-Native Install
• Proxy Server
• macOS LaunchAgent