Show HN: Kyno – Direction as a first-class primitive for AI agents (cizambra.github.io)

Kyno has introduced a new framework that positions direction as a first-class primitive for AI agents, allowing for dynamic adjustments in response to changing priorities without disrupting ongoing workflows. In this system, a "constitution" is established—consisting of a named mission and ordered principles—enabling AI agents to make principled judgments as they pursue their objectives. This feature allows humans to set and modify missions on the fly, with agents efficiently retrieving current directives through a built-in mechanism called the Mission Control Protocol (MCP). The significance of Kyno lies in its ability to enhance AI governance and operational flexibility. By enabling agents to adapt their focus—such as shifting from revenue generation to customer retention—Kyno ensures that implementations remain aligned with evolving strategic goals. Notably, it allows version control of directives, making it easier to track decisions during the agents' processes. The framework supports multiple input methods, starting with SQLite and standard I/O, while offering the potential for HTTP or custom adapters, facilitating widespread applicability across various technical environments. With Kyno, developers can quickly integrate principled governance into their AI systems, improving efficiency and accountability.