Built to eliminate developer rate limits, Entire handles millions of concurrent AI agent pushes and clones at 50-millisecond latency by returning Git to its original decentralized roots.
Entire has launched a preview of a distributed Git network in the US, Europe, and Australia, allowing developers to mirror GitHub repositories in a single click. While primary records remain on GitHub, concurrent AI agents automatically clone and pull code from regional edge mirrors to avoid performance bottlenecks. Entire’s roadmap includes native hosting via an interconnected node network, enabling enterprises to lock source code within specific regions for data residency compliance.
To back its return to Git’s decentralised design principles, the platform released simulated benchmarks showing a sustained 570,000 repository clones per hour from a single repository. The network also handled roughly 586 Git pushes per second to one repo (over 2 million hourly) and maintained 470 combined clone-and-push operations per second at a median latency of 50 to 60 milliseconds.
Rather than just tracking source code, Entire acts as a contextual harness. It indexes agent sessions, text prompts, reasoning, and tool calls alongside code history to build a semantic memory layer. Key features include Entire Blame, linking line changes to the exact generating AI prompt context; Entire Review, letting multiple agents audit a branch simultaneously; and Semantic Search, allowing developers to query why code was structurally written.
Entire will open-source its Git backend infrastructure and benchmarking tools for community validation. The remote-first company emerged with a $60 million seed funding round at a $300 million valuation—one of the largest seed launches in developer tools history. Backed by Madrona, Felicis, and Microsoft’s M12, the firm employs over 40 people across 9 countries, with plans to scale to 60 by the end of the year.
