Show HN: Agent Chaperone – Screen AI agent tool calls and results with Jev (github.com)

Agent Chaperone, a new tool designed by Jev, has been introduced to enhance the security of AI agents by screening their tool calls and the results before they are processed. Operating in a unique shadow mode, this tool logs all decisions about potential actions without blocking anything initially. Users can review these logs to adjust thresholds for what should be permitted or denied, ensuring that every call is transparent and accountable. The framework is not a replacement for existing permission prompts; it acts as an additional layer of scrutiny, emphasizing a hands-on approach over automatic approvals. The significance of Agent Chaperone lies in its ability to mitigate risks associated with AI interactions, particularly regarding sensitive data and potentially harmful commands. By allowing experts to define policies in a structured format and monitor decisions with real-time logging, it aims to improve the oversight of AI systems. The tool combines standard determinism with probabilistic assessments from its underlying model, Jev, making it a robust mechanism against both benign and malicious actions. However, users must be aware that while Agent Chaperone provides significant monitoring capabilities, it does not guarantee complete protection against sophisticated adaptive attacks.