Show HN: Talos – An AI agent with a permission kernel between model and shell (talos-agent.ch)

Talos has emerged as a novel AI agent that incorporates a permission kernel to mediate interactions between AI models and shell commands, enhancing security and control. This design allows users to execute shell commands within a sandboxed environment, where every action is carefully logged and evaluated for safety before execution. The system offers a range of functionalities, including task delegation to a confined AI worker (Claude) and a suite of automation features, all while maintaining strict permission protocols that prevent unauthorized access or actions. This development is significant for the AI/ML community as it addresses critical concerns around security, accountability, and operational transparency in AI deployments. By enforcing explicit permissions and allowing for thorough adversarial testing, Talos sets a new standard for trustworthy AI applications, ensuring that users remain in control without compromising the agent's capabilities. The underlying architecture minimizes risks by requiring human oversight for potentially harmful actions, challenging conventional models that prioritize capability over safety. This careful balance of strength and constraint positions Talos as a pioneering framework for secure AI integration in various applications.