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pAInapple Code

A self-hosted server that runs the Claude Code CLI on your machine; remote clients connect to it — streaming chat, interactive permission cards, an embedded terminal, git tools, multi-session tabs. It can also drive the OpenAI Codex CLI as a second engine (experimental).

The distinguishing feature is the Auto Journal. After every turn, the session forks itself in the background to a fast summarizer model (Haiku by default), so the summarizer reads the turn's full conversation rather than just its diff. It writes one structured summary — work done, decisions, problems solved, learnings — and that summary does double duty: it becomes the commit message for a per-project shadow git repo holding the turn's file changes, and it lands as a queryable row in a local DuckDB that later sessions can search.

The goal is native apps for every platform; desktop and mobile apps are in development. Today the client is a web app that installs as a PWA on iOS, Android, and desktop — a workable setup in practice: much of this project was written from a phone and an iPad through this same UI.

Documentation · Install · Features · Security

pAInapple Code session with the Auto Journal widget open next to the chat

Before you start

pAInapple Code hands a browser tab full control of a Claude Code instance on your machine. Four things to know before the quick start:

The default permission mode is Ask. pAInapple Code drives Claude through the official Agent SDK; every tool call pauses on an approve/deny card — with a readable preview of the edit or command — until you decide. Less restrictive modes are opt-in, per session: Accept Edits, Auto (Claude's own classifier gates each call), Plan (read-only), and full bypass. Permission mode and model switch live, mid-turn, without restarting the session. → Permissions guide

Isolate the autonomous modes. The embedded terminal is a real PTY, and anything Claude is approved to run executes as the user who started the server — prompt injection and poisoned packages are real risks for any coding agent. Approval cards cover the interactive modes; for autonomous use, run pAInapple Code in a container or VM. painapple --in-docker (below) is the built-in way to do that.

Network defaults are conservative. The server binds 127.0.0.1 over plain HTTP; non-loopback binds auto-enable TLS with a self-signed cert. Auth is a single-password gate — adequate on a home network or VPN; for anything public, put your own reverse proxy in front. → Security notes

This is an MVP, and heavily "vibe-coded". Most of the code was written by AI under my direction and review. I've put real effort into the security model, but I can't guarantee it — one more reason to take the isolation advice above seriously. A rewrite to a more rigorous standard is planned; for now the priority is implementing and testing ideas.

Security model

One sentence to internalize: whoever can authenticate to pAInapple Code gets the shell and filesystem authority of the OS user that runs it. The bridge exists to run a coding agent on your behalf — /api/exec, the embedded PTY, and every approved tool call execute as that user. Treat the password like an SSH key.

What that means in practice:

  • Loopback by default. The server binds 127.0.0.1. Keep it there for local use.
  • Remote access goes through a tunnel. Reach it over a VPN, an SSH tunnel, or an authenticating reverse proxy — don't expose the port directly to the internet or a shared LAN.
  • Single-user, not multi-tenant. It is not hardened for untrusted multi-user hosting. Don't share one instance between people who shouldn't have each other's shell access; run separate instances as separate OS users instead.
  • Isolate autonomous modes in a container or VM — painapple --in-docker is the built-in way.

Found a vulnerability? Please report it privately — see SECURITY.md.

What it is, and what it isn't

It is a thin wrapper around Claude Code — every prompt streams through the official CLI/Agent SDK, and any session started here can be resumed in the plain CLI with claude --resume <id>. It never modifies Claude's system prompt, tool policy, or behavior — no injected planning steps, no hidden instructions. What it does add to a prompt is the context you attached: the output of !bang commands you ran, paths of files you uploaded, and snippets from the comments stash are prepended as plain text. The same wrapper can drive the OpenAI Codex CLI, selected per session, resumable with codex exec resume <id> — the Codex path is newer and has had less testing than the Claude path.

It is not a hosted service. You run it, on your hardware, with your own Claude account.

It is not zero-config "code from anywhere". The client works as a PWA on a phone or iPad, but the networking between them is yours to wire up. The practical path: keep the default 127.0.0.1 bind and add a reverse proxy (Caddy, nginx) or a VPN for remote access — mobile browsers handle self-signed certificates poorly.

Requirements

  • Direct install: Python 3.12+ and the Claude Code CLI, installed and authenticated. (The Docker image bundles both.)
  • Optional: the OpenAI Codex CLI, if you want the Codex engine.
  • Client: any modern browser with network access to the server.

Quick start

pipx (recommended)

pipx install painapple-code
painapple --workspace /path/to/your/projects
# …or cd into the project and run it bare — it serves the current directory:
painapple

Open http://localhost:8765/. The first run prints a bootstrap URL with the password embedded as ?tkn=… — open it once and a cookie keeps you logged in.

Plain pip install painapple-code into a venv works too — see the pip/pipx guide.

Containers: painapple --in-docker

For the autonomous permission modes, run pAInapple Code isolated. Docker is a built-in run mode — the same invocation, sandboxed in the prebuilt image:

pipx install painapple-code
painapple --in-docker       # serve the current directory, containerized

The prebuilt image (Python, Node, and the Claude Code CLI bundled) is pulled automatically on the first run; painapple pull re-fetches it to update or pin a release. State persists in named volumes and your project is bind-mounted. Docker and Podman are auto-detected. For a durable named sandbox, painapple setup myapp (pick "Docker" as the run mode) then painapple start myapp. Raw docker run / compose / Podman recipes and source builds: Docker install guide.

Desktop & mobile apps (in development)

Native desktop and mobile apps are in development — stay tuned.

More ways to run it

  • GitHub Codespaces / Dev Containers — one line in devcontainer.json boots every Codespace with pAInapple Code installed, started, and port-forwarded → Dev Container Feature
  • From sourcegit clone, venv/bin/pip install -e ., run with venv/bin/painapplesource install

Authentication

Every HTTP and WebSocket request needs a password. The server generates one on first start, stores it in ~/.config/painapple-code/config.yaml (inside the container that's under /home/app/; mode 0600 either way), and logs a bootstrap URL with the token embedded as ?tkn=… — open it once, the cookie does the rest.

# Reveal the password — prints ready-to-open login URLs
painapple password                # add a profile name for named deployments
# …or read the config file directly
awk '/^password:/ {print $2}' ~/.config/painapple-code/config.yaml
# …or in a container not managed by the CLI
docker exec painapple-code awk '/^password:/ {print $2}' \
    /home/app/.config/painapple-code/config.yaml

# Rotate: delete the config, restart, and a new password is generated
rm ~/.config/painapple-code/config.yaml   # then restart the server
# …or when running in a container
docker exec painapple-code rm /home/app/.config/painapple-code/config.yaml \
    && docker restart painapple-code

Three auth paths: the bridge_auth cookie (set automatically after first login), ?tkn=<password> in any URL, or Authorization: Bearer <password> for curl and scripts.

Server options

The most common flags:

Flag Default Description
--host / --port 127.0.0.1 / 8765 Bind address and port
--workspace . Workspace root — the directory holding your projects. You pick the project in-app from the welcome screen (--cwd is an alias)
--instance-name, --accent Label + accent color to distinguish multiple instances
--tls auto Self-signed TLS, auto-enabled on non-loopback binds
--default-provider claude-sdk Default AI engine for new sessions — Claude Code (SDK or classic line protocol) or OpenAI Codex
--profile Run a named profile — several independent deployments (host or docker mode) under one user
--in-docker off Run the same invocation in a container instead (prebuilt image, cwd mounted)

painapple setup is an interactive wizard that saves global defaults (network/TLS + the container runtime for --in-docker); painapple setup NAME creates a named deployment — host or docker mode — that painapple start NAME runs in the background. painapple list shows every instance on the machine, and status/logs/password NAME inspect any of them.

painapple --help prints the full list; every flag, environment variable, and accent-color preset is in the server CLI reference.

Highlighted features

A selection — the full list is in the feature docs.

Auto Journal (shadow git)

After each turn, the session forks itself in the background to a fast summarizer model (Haiku by default) that reads the whole turn, not just the diff. Its structured write-up — work done, decisions, learnings, problems solved — becomes the commit message for a per-project shadow git repo holding that turn's file changes (respecting .gitignore), and the same fields land in a local DuckDB, so the project's own history is queryable: from the Journal widget, over a SQL endpoint, or by future sessions. The optional shadow-git-helper agent covers that last case — write "consult shadow-git-helper about X" and a sub-agent digs through past turns without loading them into your main context. It's not a backup mechanism; it's a searchable record of what was done and why.

Journal widget showing per-turn Haiku summaries, files changed and cost, grouped by session

Interactive permissions

Every tool call can pause on an approve/deny card with a human-readable preview — Write shows the file and content, Edit an old→new diff, Bash the command. Deny with a typed reason and it's fed back to the model as guidance. Cards surface the engine's own "always allow" suggestions, and permission mode + model switch live, mid-turn, over the Agent SDK control plane — no session restart. The Stop button interrupts gracefully and keeps the process warm. → Permissions guide

AI engines — Claude and Codex, per session

pAInapple Code drives Claude Code by default and can run the OpenAI Codex CLI as a second engine — picked per session, so a Claude tab and a Codex tab sit side by side. Each engine brings its own model catalog, permission vocabulary (Codex maps to its sandbox tiers), and effort scale; a setup panel on every fresh session makes the choice one tap. Settings has a per-engine panel with model show/hide, per-engine defaults, and an in-app Log in flow for the CLI itself. → Engines guide

Per-turn summary bar

Context usage, token delta, files changed with diff stats, tool counts, duration, cost, and which model ran — inline after every turn. File pills open diffs and previews directly.

Collapsed per-turn summary bar with file pills, tool counts, cost and duration

Comments stash

Click the bubble next to any paragraph, add a note, and it attaches — quote included — to your next prompt.

Selecting a paragraph, adding a note, and the stash attaching itself to the next prompt

Embedded terminal

A real PTY via xterm.js (Ctrl+`). On mobile there's a key bar with Ctrl/Alt/arrows above the keyboard, and a virtual d-pad joystick on touch-and-hold.

Embedded terminal running ls, git status and the project test suite

Prompt history + favorites

Search every prompt you've ever sent, across all sessions and projects, with phrase, exclusion, date, and content filters (Alt+P or Ctrl+R). Mark favorites; reuse any result or fork it into a new session.

Prompt history explorer with search filters, a favorited prompt, and reuse actions

And more

Multi-session tabs, git widget, cost analytics, file explorer with rendered previews and in-place markdown editing, a sandboxed browser widget, # snippets and agent triggers, paste-to-annotate screenshot editor, discussion threads forked from any text selection, and switchable density modes. → All features

Optional helpers

A shadow-git CLI, a shadow-query DuckDB wrapper, and the shadow-git-helper Claude agent ship with the package — the Docker image installs all three at build time. On a host install:

src/painapple_code/tools/install-helpers.sh   # --update / --uninstall / --dry-run

No sudo, no $PATH edits — targets ~/.local/bin and ~/.claude/agents/. Details: optional helpers reference.

Data storage

Everything lives under ~/.painapple-code/ (or $PAINAPPLE_CODE_HOME; /data in Docker): per-project sessions, shadow git repos, the DuckDB turn store, and logs. Auth config sits apart in ~/.config/painapple-code/config.yaml (mode 0600), so wiping the data directory doesn't rotate your password. Full layout: data & storage reference.

What it touches on your machine

pAInapple Code runs a coding agent, so it is not a light-touch program. Everything it does to your system, in one place:

It does not write into your project. No dotfiles, no metadata directory, no worktrees. Changes to your code come only from things you asked for — an approved tool call, the editor, the terminal, a shadow-git restore.

Shadow git copies your project into the data home — on by default. After each turn it commits the whole working tree, including untracked files, into a private repo under ~/.painapple-code/. That's what powers the timeline, undo, and file history. It skips .git, node_modules, virtualenvs, build output, logs, .env files, and anything over 50 MB — but a secret in a file that doesn't match those exclusions (say credentials.json) gets copied there and kept in that repo's history. Worth knowing before you point it at a directory full of production keys; disable it per project in the Auto-journal settings.

Auto-journal spends tokens in the background — on by default. After each turn a second, short model call (Haiku by default) summarizes what happened to produce the journal entries and commit messages. It's cheap, but it is real API usage you didn't explicitly trigger. Same settings panel turns it off.

Outside the data home it touches very little. Auth config and TLS cert live in ~/.config/painapple-code/ (mode 0600). The optional helpers — only if you install them — add two scripts to ~/.local/bin/ and one agent file to ~/.claude/agents/; no sudo, no $PATH or shell-rc edits. It reads ~/.claude/ and $CODEX_HOME to list your existing skills, agents, commands, and models.

Nothing phones home. No telemetry, no update checks, no analytics. The only outbound request the server itself makes is the browser widget fetching a URL you asked it to open (guarded against internal-network addresses). The Claude and Codex CLIs it launches talk to their own vendors, as they would anyway.

In Docker, your host ~/.claude is mounted read-write so the containerized CLI reuses your existing login — which means the container can modify that config. The setup wizard offers an isolated Claude home instead if you'd rather keep them separate.

Uninstalling the package leaves your data. ~/.painapple-code/ (sessions, shadow repos, the DuckDB store) and ~/.config/painapple-code/ (password, cert) stay until you delete them; the helpers have their own uninstall flag. Full inventory: data & storage reference.

Known weaknesses

This is an MVP — there are tradeoffs.

  1. Windowing system — works, but doesn't support multiple instances of the same widget and could use a rethink.
  2. Code editor — currently a notepad with syntax highlighting. The plan is a review-driven workflow rather than a VSCode-grade editor; the markdown inline editor is the exception and works well for plan/doc tweaks.
  3. GUI for OS-level features (git widget, file explorer) — exists, but I prefer the embedded terminal for grep/sed/find/du, so these widgets have not been a priority.
  4. Codex engine — functional, but much newer than the Claude path and not yet as thoroughly tested.

License

AGPL 3.0 — see LICENSE.

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