Welcome to LobsterTrap! We are an open-source community dedicated to the art and science of AI Agent Security. As agents become more autonomous, the "china shop" they play in gets more expensive—we’re here to build the armor, the cages, and the guardrails that keep them (and your data) safe.
Whether you're a security researcher, a developer, or an AI enthusiast, we’re happy to have you aboard. No claws, just collaboration.
We focus on the intersection of LLM capabilities and hardened systems engineering. Our core pillars include:
- 🛡️ OpenClaw: Our flagship initiative focused on standardizing secure agent-to-system interfaces.
- 📦 Sandboxing & Confinement: Developing methods to ensure agents stay within their designated "traps" (containers/VMs) and don't escape to the host.
- 🔑 Credential Management: Solving the "Agent's Secret" problem—how to give an agent power without giving away the keys to the kingdom.
- 🧪 Prompt Injection Defense: Exploring robust, multi-layered protections against adversarial instructions and jailbreaks.
- 🏗️ Workload Confinement: Ensuring AI tasks respect resource boundaries and fail gracefully.
Security is a team sport, and the ocean is too big to explore alone. Here is how you can get involved:
- Experiments: Check out our repositories to see our latest (and sometimes weirdest) security prototypes.
- Discussions: Have a wild idea for an AI-native firewall? Start a thread in our Discussions tab.
- OpenClaw: Help us harden the core framework that powers secure agentic workflows.