fabraix/playground
A live environment to stress-test AI agent defenses through adversarial play ðŸ§
This project helps AI developers and security researchers uncover vulnerabilities in AI agents by providing a live environment for adversarial testing. You can propose scenarios where an AI agent, with specific instructions and tools, is challenged to bypass its safety guardrails. The system then publishes successful "jailbreak" techniques, helping the community understand and build more secure AI systems.
Use this if you are an AI developer, security researcher, or ML engineer looking to stress-test AI agent defenses in a live environment and contribute to collective knowledge about AI security.
Not ideal if you are looking for a simple AI library, a general-purpose AI development tool, or a consumer-facing application.
Stars
21
Forks
—
Language
TypeScript
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/agents/fabraix/playground"
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