Show HN: Markdown Gatekeeper – one current source per topic for AI agents (github.com)

Markdown Gatekeeper has been introduced as a local-first authority layer designed for AI projects, enabling seamless collaboration among tools like Claude and Codex while maintaining standard Markdown and local Git environments. This tool ensures that documents are not considered authoritative simply due to agent claims, promoting a structured approach to managing overlapping documentation. The initial implementation, expected on npm, can currently be installed directly from GitHub, signaling a shift towards local development prioritization over cloud services. This project holds significance for the AI/ML community as it addresses documentation governance in collaborative settings, mitigating conflicts and ambiguity in source ownership. Key features include automated initialization, integrity checks, and streamlined review processes, which allow for high-confidence publishing with minimal user intervention. The system employs a semantic review process through an LLM, where the human publisher retains control over state transitions, ultimately enhancing the integrity and clarity of collaborative AI development workflows. This innovation could lead to better documentation practices and reduce errors in AI project management.