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This article details GitHub's new Git storage architecture designed to handle massive concurrent writes from AI agents by decoupling storage from compute. By leveraging the immutability of Git objects, the system minimizes coordination overhead, allowing thousands of agents to push simultaneously without compromising latency or consistency. This infrastructure upgrade is a critical enabler for scaling agentic development workflows across large repositories.
Inside GitHub’s new Git storage architecture

GitHub's new Git storage architecture is built so thousands of agents can push to a single repository at once. Here's how it works. The post Inside GitHub’s new Git storage architecture appeared first on The GitHub Blog.
Last week at GitHub Universe, we announced our new Git storage architecture, capable of handling thousands of writes per second with reads that scale on demand. Through internal testing, we’ve demonstrated the ability to support 5,000 concurrent agents working on a repository, sending 7,200 pushes per second to a repo, all while serving read traffic with consistently low latency. This new architecture is the foundation for GitHub to support agentic development for hundreds of millions of developers, and we’ve been building it underneath GitHub while it keeps running. Over the past year, agents changed what a busy repository looks like on GitHub. In our first post in this series, we laid out the two principles behind our next-generation Git storage architecture: minimize coordination, and decouple storage from compute. In our last post, we covered the bridge: moving 99.99999% of repositories into Azure, scoping the write quorum to individual references, and standing up virtual replicas backed by Azure Blob Storage. We also left off with an observation: very little of a write needs to be ordered. Git objects are immutable and named by their contents, meaning two writers can store them at the same time without agreeing on anything. The part…
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