Embeds organizational values directly into AI agent workflows to ensure compliant and controlled development.
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Dogma is an open-source AI governance framework designed to embed organizational principles and constraints directly into AI agent development workflows. Instead of relying on post-hoc audits or manual oversight, Dogma encodes values as executable substrate, including agent role files, validation scripts, and runtime enforcement tools, which AI agents are designed to read and obey before performing actions. This approach ensures AI systems operate within defined boundaries by design, fostering endogenic development where AI systems grow intelligently from existing knowledge while adhering to established compliance and operational standards.
주요 기능
01Auditability through logged agent decisions and context trails
02Portability for easy adoption and customization without platform lock-in
03Composability with mix-and-match agent roles, validation rules, and MCP tools
04Runtime enforcement of conventions via a comprehensive MCP toolset
050 GitHub stars
06Sovereignty with in-repo value enforcement
사용 사례
01Regulated industries encoding compliance constraints as pre-commit hooks
02Open-source maintainers preventing agents from introducing unlicensed dependencies
03Product teams aligning agent-generated documentation with brand positioning
