Git-Native Agent Protocol (hereinafter referred to as GNAP) is an open-source, serverless multi-agent coordination protocol announced by Farol Labs on March 15, 2026. Instead of traditional centralized message brokers or complex database servers, it provides an architecture that transforms a distributed version control system (DVCS), which is most familiar to modern software developers, into a message bus and persistent state store. Similar to how scientists in a distributed laboratory coordinate projects by adhering to predefined rules, posting notes on a large shared whiteboard, and checking the completion status of tasks, GNAP enables multiple AI agents and human workers to asynchronously delegate and perform tasks through a standardized directory structure and JSON schema, without the need for additional server infrastructure. Existing autonomous agent frameworks have forced the construction of separate physical infrastructure, such as Redis servers, PostgreSQL databases, or dedicated WebSocket relays, for communication and state maintenance between agents. This has posed significant constraints in isolated environments handling sensitive information or in specialized research settings. GNAP completely eliminates the cost of additional infrastructure while ensuring a perfect, tamper-proof audit trail without a separate audit logging system, based on the cryptographic commit history inherently guaranteed by Git. Collaborators perform tasks individually in local sandboxes with no network access, and then adopt a delayed synchronization method, periodically running a heartbeat loop to pull tasks and push updates to the task status as JSON files, enabling even offline collaboration. In particular, in the field of biotechnology research, GNAP demonstrates excellent utility in coordinating distributed analysis pipelines between compute servers protected by firewalls. For example, when operating pipelines that require significant CPU and GPU processing power and take a long time, such as large-scale genomic sequence analysis (NGS) or protein-ligand docking prediction, simple loops of reading and writing JSON documents within the `.gnap/` folder hosted in a shared private Git repository, resident on each research workstation node, are sufficient for state synchronization. This allows laboratories to launch a stable, distributed pipeline that autonomously controls various analysis packages within 30 seconds, leveraging existing, proven configuration management infrastructure, without having to spend on expensive web server hosting or undergo cloud security audits.