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chore: import upstream snapshot with attribution
2026-07-13 12:03:20 +08:00

7.3 KiB

Docker-Native Install

Run Headroom without installing Python or Node.js on the host. The install scripts add a native headroom wrapper that keeps Headroom itself in Docker while orchestrating the rest of your workflow on the host OS.

One-line install

Linux

curl -fsSL https://raw.githubusercontent.com/chopratejas/headroom/main/scripts/install.sh | bash

macOS (bash 4.3+)

curl -fsSL https://raw.githubusercontent.com/chopratejas/headroom/main/scripts/install.sh | "$(brew --prefix bash)/bin/bash"

Stock /bin/bash on macOS is 3.2, so install a newer bash first (for example via Homebrew) and run the installer with that shell. The installed wrapper pins that same bash interpreter so later invocations stay on the supported runtime.

Windows PowerShell

irm https://raw.githubusercontent.com/chopratejas/headroom/main/scripts/install.ps1 | iex

What the installer does

  1. Verifies Docker is installed and available.
  2. Pulls ghcr.io/chopratejas/headroom:latest by default, or reuses / pulls HEADROOM_DOCKER_IMAGE when you set a custom image override.
  3. Installs a headroom wrapper into ~/.local/bin or ~/bin.
  4. Updates shell startup files so the wrapper directory is on PATH.

The wrapper keeps Headroom inside Docker and mounts host state back into the container so native behavior stays consistent:

  • project workspace -> /workspace
  • ~/.headroom
  • ~/.claude
  • ~/.codex
  • ~/.gemini

Port 8787 stays the default, so http://localhost:8787 works the same way as a native install.

Published releases also push versioned GHCR tags such as ghcr.io/chopratejas/headroom:0.5.26, and those images are built with the same synced package version used for the matching PyPI and npm release.

How the wrapper behaves

Native Headroom commands

These run directly inside the container:

headroom proxy
headroom learn
headroom mcp install
headroom memory list

For proxy, the wrapper publishes the selected port back to the host:

docker run --rm -it \
  -p 8787:8787 \
  -v "$PWD:/workspace" \
  -w /workspace \
  ghcr.io/chopratejas/headroom:latest \
  headroom proxy --host 0.0.0.0 --port 8787

wrap commands

wrap is host-oriented in Docker-native mode:

  • the wrapper starts the Headroom proxy in Docker
  • container-side prep writes Headroom config, memory, and rtk guidance into mounted host files
  • the target CLI itself is launched on the host by the wrapper

Supported host wrap flows:

  • headroom wrap claude
  • headroom wrap codex
  • headroom wrap aider
  • headroom wrap cursor
  • headroom wrap openclaw
  • headroom unwrap openclaw

OpenClaw remains host-native in Docker-native mode:

  • the host must already have the openclaw CLI installed
  • headroom wrap openclaw installs/configures the Headroom plugin through the host openclaw CLI
  • plugin auto-start still launches the installed host headroom wrapper from PATH, which then runs Headroom in Docker
  • local plugin source mode (--plugin-path) is also supported, but it may require host npm when build steps are needed

Persistent Docker lifecycle from the native wrapper

The Docker-native headroom wrapper now exposes the persistent Docker lifecycle directly:

headroom install apply --profile default --preset persistent-docker
headroom install status
headroom install restart
headroom install remove

In Docker-native mode this surface is intentionally scoped to persistent-docker:

  • supported: apply, status, start, stop, restart, remove
  • supported flags: --profile, --port, --backend, --anyllm-provider, --region, --mode, --memory, --no-telemetry, --image
  • not supported: persistent-service, persistent-task, or provider/user/system mutation flags such as --scope, --providers, and --target

Those broader lifecycle and config-mutation flows still belong to the Python-native headroom install ... command.

Persistent Docker deployments launched by the wrapper also tag the proxy process with deployment metadata, so /health reports the active profile, preset, runtime, supervisor, and scope the same way the Python install subsystem does.

Docker Compose support

Use docker/docker-compose.native.yml when you want an explicit compose-managed proxy or CLI shell, or when you prefer compose over the native wrapper's headroom install ... surface.

Persistent Docker runtime

The proxy service now uses restart: unless-stopped, so compose can act as the always-on Docker runtime for Headroom:

export HEADROOM_HOST_HOME="$HOME"
export HEADROOM_WORKSPACE="$PWD"
docker compose -f docker/docker-compose.native.yml up -d proxy
$env:HEADROOM_HOST_HOME = $HOME
$env:HEADROOM_WORKSPACE = (Get-Location).Path
docker compose -f docker/docker-compose.native.yml up -d proxy

This remains a supported persistent-Docker path when you want the proxy managed explicitly through Compose instead of the installed wrapper.

HEADROOM_WORKSPACE vs HEADROOM_WORKSPACE_DIR

These are two different variables — both are set by the compose file, and both are retained for backward compatibility:

  • HEADROOM_WORKSPACE (host-side) is the directory the compose file bind-mounts into the container as /workspace. It behaves like CWD in a native (non-Docker) run.
  • HEADROOM_WORKSPACE_DIR (inside-the-container) is the canonical Headroom state root — part of the filesystem contract introduced in issue #175. The compose file sets it to /tmp/headroom-home/.headroom so the proxy resolves savings, logs, TOIN, and memory under the bind-mounted ${HOME}/.headroom.

You do not need to set HEADROOM_WORKSPACE_DIR manually when using the shipped compose file — it is already in the environment: block.

macOS / Linux

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

Windows PowerShell

$env:HEADROOM_HOST_HOME = $HOME
$env:HEADROOM_WORKSPACE = (Get-Location).Path
docker compose -f docker/docker-compose.native.yml up proxy

You can also run one-off CLI commands through compose:

docker compose -f docker/docker-compose.native.yml run --rm cli learn
docker compose -f docker/docker-compose.native.yml run --rm cli mcp install

Environment passthrough

The wrapper forwards Headroom and provider environment variables into the container, including common prefixes such as:

  • HEADROOM_
  • ANTHROPIC_
  • OPENAI_
  • GEMINI_
  • AWS_
  • GOOGLE_ / GOOGLE_CLOUD_
  • AZURE_
  • OTEL_

That keeps provider auth and runtime config working without maintaining a separate env file for the container.

Notes

  • Docker is the only required Headroom runtime dependency on the host.
  • Wrapped tools like Claude Code, Codex CLI, Aider, and Cursor still run on the host when you use headroom wrap ....
  • The install scripts are idempotent: rerunning them refreshes the wrapper and image without duplicating shell profile blocks.
  • For persistent service and task installs, use the Python-native headroom install ... workflow described in Persistent Installs.
  • For Docker-native headroom install ..., the wrapper persists its profile manifest under ~/.headroom/deploy/<profile>/.