Template for secure AI multi-agent coding workflows (github.com)

A new reference architecture has been released for secure AI multi-agent coding workflows, allowing developers to orchestrate multiple AI agents effectively. This template is designed for advanced users working with autonomous AI systems and features a council of AI agents, including Claude, Gemini, Codex, and others. Key functionalities include board-driven task delegation, automated pull request (PR) reviews, and security hardening through a rigorous, 15-stage CI/CD pipeline. The project emphasizes safety with built-in trust measurement protocols and tools for detecting sleeper agents, making it critical for developers focused on ensuring responsible AI use. The architecture’s significance lies in its modular, container-first design, which supports various AI functions such as code quality checks and content creation without external dependencies. It enables comprehensive automated management of the development lifecycle—from issue creation to human-approved merges—while enforcing strict security measures. Given the dual-use nature of this research, the maintainers stress the importance of understanding AI risks and the necessity for robust human oversight before engaging with the tools. This resource ultimately aims to facilitate secure, productive AI-driven coding environments while addressing the unique challenges posed by AI systems.