Show HN: Korveo – a local firewall for AI agents (github.com)

Korveo has launched a revolutionary local firewall for AI agents, enabling users to monitor and control every action taken by their AI models in real-time. This tool provides comprehensive traceability for large language models (LLMs), covering calls, decisions, and tool interactions, while offering protective features against credential exfiltration, cross-tenant data leaks, and potentially harmful operations. What sets Korveo apart is its all-in-one design, which allows for self-hosting in a single Docker container with zero external dependencies, making it suitable for both individual developers and enterprises. The significance of Korveo for the AI/ML community lies in its unique ability to simultaneously integrate full observability and security within the operation of AI agents. Unlike existing tools that typically focus on either tracking or rule enforcement, Korveo combines these functionalities alongside a robust policy engine that includes features like cost attribution, multi-turn session tracking, and a built-in approval system for rule modifications. Its approach to guarding against the OWASP LLM Top 10 vulnerabilities ensures that sensitive information remains secure while providing developers with the tools necessary to optimize their AI systems safely and efficiently.