antgroup

antgroup / ClawAegis

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ClawAegis is a lightweight plugin providing full-lifecycle runtime protection for OpenClaw.

agent agent-security llm openclaw openclaw-plugin
26
4
100% credibility
Found Apr 02, 2026 at 26 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

ClawAegis is a lightweight security plugin for OpenClaw AI agents that layers defenses across the agent's lifecycle to block threats like poisoned skills, memory tampering, and data leaks.

How It Works

1
🔍 Discover Safety Shield

You hear about ClawAegis, a helpful guard that keeps your AI assistant safe from tricks and leaks while it works.

2
đź“Ą Grab the Guard

Download the safety plugin folder to your computer to start protecting your AI.

3
🛡️ Add Protection Layer

Tell your AI setup to use this new guard with a simple install command, like adding a trusted helper.

4
⚙️ Tune Your Safety

Pick easy settings like 'watch first' or 'block bad stuff' to match how careful you want to be.

5
🚀 Launch Secure AI

Start chatting with your AI, now with invisible shields watching every step.

âś… Safe and Smooth

Your AI thinks and acts securely, blocking sneaky risks so you enjoy worry-free help.

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Star Growth

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AI-Generated Review

What is ClawAegis?

ClawAegis is a lightweight TypeScript plugin providing full-lifecycle runtime protection for OpenClaw agents. It blocks threats like skill poisoning, memory contamination, jailbreaks, malicious commands, and data exfiltration across five defense layers—from environment scans to execution controls—triggered at OpenClaw lifecycle hooks. Install via `openclaw plugins install ./ClawAegis`, then tweak JSON configs for observe or enforce modes to monitor or halt risks.

Why is it gaining traction?

Unlike prompt guards or passive tools, ClawAegis proactively intervenes at runtime with configurable blocking, asset protection for files/skills/plugins, and output redaction—users see threats neutralized in demos like file deletions or API leaks. Its low-overhead design fits local or remote OpenClaw setups, with staged rollout from logging to enforcement. Bilingual docs and real-world attack videos hook security-focused devs fast.

Who should use this?

OpenClaw users running local agents for personal coding or remote services with tool access, like indie devs building AI assistants. Security ops managing agent fleets exposed to untrusted inputs or skills. Teams at firms like Ant Group handling sensitive data in agent workflows.

Verdict

Worth adding to OpenClaw stacks for runtime protection, but with 26 stars and 1.0% credibility, treat as experimental—run in observe mode, watch for updates. Strong docs offset maturity gaps.

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