paude 0.15.0rc4

Container wrapper for running AI coding agents in isolated, secure containers

Paude

Run AI coding agents in secure containers. They make commits, you pull them back.

Supported Agents

Agent	Flag	Status
Claude Code	--agent claude (default)	Supported
Cursor CLI	--agent cursor	Supported
Gemini CLI	--agent gemini	Supported
OpenClaw	--agent openclaw	Supported

Agents are installed automatically inside the container — no local agent installation needed. You just need authentication credentials for your chosen provider.

Why Paude?

• Isolated execution: Your agent runs in a container, not on your host machine
• Safe autonomous mode: Enable --yolo without fear — the agent can't send your code anywhere
• Git-based workflow: The agent commits inside the container, you git pull the changes
• Run anywhere: Locally with Podman or Docker, remotely via SSH, or on OpenShift

Demo

The demo shows Claude Code, but the workflow is identical with other agents.

Quick Start

Prerequisites

Container runtime: Podman or Docker for local use, or an OpenShift cluster for remote execution.

Authentication — set up credentials for your chosen provider:

Google Cloud / Vertex AI (Claude Code, Gemini CLI, OpenClaw)

Install the Google Cloud SDK, then:

gcloud auth application-default login

Set your project (find the ID in Google Cloud Console):

# Claude Code via Vertex
export CLAUDE_CODE_USE_VERTEX=1
export ANTHROPIC_VERTEX_PROJECT_ID=your-project-id
export GOOGLE_CLOUD_PROJECT=your-project-id

# Gemini CLI / OpenClaw via Vertex
export GOOGLE_CLOUD_PROJECT=your-project-id

Anthropic API key (Claude Code, OpenClaw)

export ANTHROPIC_API_KEY=your-api-key

For OpenClaw, also pass --provider anthropic:

paude create --agent openclaw --provider anthropic ...

OpenAI API key (OpenClaw)

export OPENAI_API_KEY=your-api-key
paude create --agent openclaw --provider openai ...

Cursor

agent login  # or set CURSOR_API_KEY=your-api-key

macOS note: On Mac hosts, CURSOR_API_KEY is the simplest authentication method. Without it, each paude session requires a separate browser-based OAuth login via agent login inside the container.

Install

uv tool install paude

First run: Paude pulls container images on first use. This takes a few minutes; subsequent runs start immediately.

Your First Session

# OpenClaw — browser-based, no local agent install needed
paude create --agent openclaw --allowed-domains "default openclaw" my-project

# Claude Code (default)
cd your-project
paude create --yolo --git my-project

# Cursor CLI
paude create --agent cursor --yolo --git my-project

# Gemini CLI
paude create --agent gemini --yolo --git my-project

# Connect to a CLI agent's running session
paude connect my-project

# Pull the agent's commits (use your branch name):
git pull paude-my-project main

You'll know it's working when: For CLI agents, paude connect shows the agent interface and git pull brings back commits. For OpenClaw, paude connect prints a URL — open it in your browser.

OpenTelemetry Export

Export agent telemetry (metrics, logs, traces) to any OTLP-compatible collector:

paude create --otel-endpoint http://collector:4318 my-project

The endpoint hostname is automatically added to the proxy allowlist and non-standard ports (like 4318) are opened in the squid proxy. Supported agents: Claude Code, Gemini CLI, OpenClaw. Set otel-endpoint in ~/.config/paude/defaults.json to apply globally.

Passing a Task

paude create --yolo my-project -a '-p "refactor the auth module"'

Or just start the session and type your request in the agent interface.

Something Not Working?

• Run paude --help for all options and examples
• Run paude list to check session status
• Use paude create --dry-run to verify configuration
• Use paude start -v for verbose output (shows sync progress)
• Check credentials: gcloud auth application-default print-access-token (Vertex/Gemini) or verify your API key is exported

---

Learn more:

• Session Management — commands, lifecycle, code sync
• Configuration — defaults, network domains, GitHub CLI, custom environments
• Security Model — attack vectors, --yolo safety, residual risks
• Orchestration — fire-and-forget workflow, harvest, PRs
• Remote Hosts & Docker — SSH remotes, Docker backend, GPU passthrough
• OpenShift Backend — remote execution on Kubernetes

How It Works

Your Machine                    Container
    |                              |
    |-- git push ----------------▶ |  Agent works here
    |                              |  (network-filtered)
    ◀-- git pull -----------------|
    |                              |

• Git is the sync mechanism — your local files stay untouched until you pull
• --yolo is safe because network filtering blocks the agent from sending data to arbitrary URLs
• The agent can only reach its API (e.g., Vertex AI) and package registries (e.g., PyPI) by default

Install from Source

git clone https://github.com/bbrowning/paude
cd paude
uv venv --python 3.12 --seed
source .venv/bin/activate
pip install -e .

Requirements

• Python 3.11+ (for the Python package)
• Podman or Docker (for local backend)
• OpenShift CLI oc (for OpenShift backend)
• Auth credentials for your provider (Google Cloud SDK, API key, etc.)

Development

See CONTRIBUTING.md for development setup, testing, and release instructions.

License

MIT