@ongarde/openclaw
v1.0.0
Published
OnGarde CLI — Install, configure, and manage the OnGarde runtime content security proxy
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@ongarde/openclaw
OnGarde CLI for OpenClaw — Install, configure, and run the OnGarde runtime content security proxy in seconds.
OnGarde is a lightweight, self-hosted security proxy that sits between your AI agent platform (like OpenClaw) and your LLM provider. It scans every request and response for PII, prompt injection, policy violations, and custom rules — with sub-50 ms overhead.
Quick Start
No global install needed. Just run:
npx @ongarde/openclaw initThe init wizard will:
- Check prerequisites (Python 3.12+, pip)
- Install the
ongardePython package - Generate a default config (
~/.ongarde/config.yaml) - Configure your AI platform to route through the proxy
Commands
| Command | Description |
|---------|-------------|
| npx @ongarde/openclaw init | Interactive setup wizard (first-time onboarding) |
| npx @ongarde/openclaw start | Start the proxy and wait until it's ready |
| npx @ongarde/openclaw status | Show current proxy status and health metrics |
| npx @ongarde/openclaw uninstall | Stop proxy and restore your original AI platform config |
Prerequisites
- Node.js 18 or later
- Python 3.12 or later
- pip (comes with Python)
The init command will check these automatically and tell you what to install if anything is missing.
How It Works
OnGarde acts as a transparent HTTP proxy between your AI client and your LLM provider:
AI Agent / OpenClaw
│
▼
OnGarde Proxy ←── scans requests & responses
(localhost:4242) • PII detection
│ • Prompt injection detection
▼ • Custom allow/block rules
LLM Provider • Audit logging
(OpenAI, etc.)Configuration is done via ~/.ongarde/config.yaml. Full documentation at ongarde.io.
Python Package
This CLI installs the ongarde Python package behind the scenes. If you prefer to manage it directly:
pip install ongarde
ongarde # start the proxyLinks
- 🌐 Website: ongarde.io
- 📦 PyPI: pypi.org/project/ongarde
- 🐛 Issues: github.com/AntimatterEnterprises/ongarde/issues
- 📖 Source: github.com/AntimatterEnterprises/ongarde
License
MIT © OnGarde
