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Entire Opens Preview of Distributed Git Network for AI Coding Agents

The waitlist preview mirrors GitHub repositories to regional nodes, logs agent sessions next to code, pledges to open-source its custom Git backend, and publishes internal performance benchmarks.

Overview

  • Entire launched a waitlist preview Wednesday that runs active mirror nodes in the United States, the European Union, and Australia to serve heavy agent traffic from nearby regions.
  • Developers can mirror a GitHub repository in one step so AI coding agents clone and pull from local Entire mirrors while GitHub remains the source of truth, and the company says it will add native repos in coming months.
  • Entire built its own server‑side Git implementation and released company benchmarks that claim roughly 570,000 clones per hour and 586 pushes per second, with a stated plan to open‑source both the backend and the benchmark suite.
  • The platform includes a semantic memory layer that records agent sessions, prompts, and tool calls and ships features called Entire Blame, Entire Review, and code/semantic search that tie reasoning to code changes and integrate with major agents.
  • Backed by a $60 million seed round led by Felicis and supported by M12 and others, Entire says it aims to improve reliability and data residency for teams but its performance figures are company‑provided and not yet independently verified.