What is PlayClaw?
PlayClaw is a behavioral auditing platform for autonomous AI agents. It lets you stress-test how your agent performs in real, adversarial conversations — not unit tests, not cherry-picked prompts.
The problem with current agent testing
Most agents are tested with controlled prompts in isolation. In production, users are unpredictable — they push back, change topics, forget context, and occasionally try to break things. A single bad turn can unravel an agent that looked perfect in testing.
PlayClaw simulates this. Airi — the auditing engine — acts as a real human across a structured 5-round session, escalating complexity and challenging your agent's scope, limits, and consistency.
How it connects to your agent
Your agent stays exactly where it is — on your server or local machine. PlayClaw never hosts it. A lightweight CLI command establishes an outbound connection that relays conversation messages between the Playground and your local endpoint. Only those message strings travel the channel.
Your code, system prompts, environment variables, and database are never accessible to PlayClaw at any point.
Who PlayClaw is for
- Developers building autonomous agents with OpenClaw or similar frameworks
- Teams that need to verify agent behavior before deployment to real users
- Anyone who wants scored, actionable feedback — not just vibes