Former GitHub CEO Thomas Dohmke Launches Entire: A Decentralized Git Platform for AI Agents

Thomas Dohmke, the former chief executive of GitHub, and former COO Cole Dreyfer founded Entire Inc. to build a decentralized Git hosting network specifically for AI coding agents, addressing the performance bottlenecks that centralized services like GitHub face under the surge of AI‑driven traffic.

“The problem is not whether Git can survive with its strong ecosystem, but how we scale, reshape, and evolve Git hosting for a world where AI agents become the primary code producers.” – Thomas Dohmke

Git remains the dominant version‑control system, used by 93.87% of developers, and GitHub—now owned by Microsoft—has experienced unexpected infrastructure pressure as AI agents generate massive interaction loads, leading to rate‑limiting, high latency, and occasional outages.

Entire’s solution embraces decentralization, a principle built into Git since its inception. The preview allows eligible developers (currently on a wait‑list for the US, EU, and Australia) to mirror their public or private GitHub repositories, creating a parallel environment where AI agents can explore code without consuming GitHub’s resources. Users may also operate directly on Entire’s native branches.

The company announced a $60 million seed round led by Felicis, with participation from Madrona, Microsoft’s M12, Basis Set Ventures, and individual investors such as Yahoo co‑founder Jerry Yang and Y Combinator CEO Garry Tan, valuing Entire at $300 million.

Madrona general manager Tim Porter described Entire as a potential “next great developer platform,” emphasizing its complementary role to major coding agents—including Claude Code, Cursor, and Codex—rather than direct competition.

Entire claims its network can handle 2.1 million push operations and 570 k clone operations per hour, compared with Cursor Origin’s 81 k pushes and 296 k clones per hour. The platform also offers the Entire CLI, a tool that integrates with Git to capture AI‑agent sessions, recording prompts, responses, file changes, and the reasoning behind each modification.

One‑line code traceability that links generated code back to the originating agent conversation.

Automated code review that runs using the captured session context.

Code and semantic search enabling queries of change history and the motivations behind them.

After the preview phase, Entire plans to launch commercial and personal editions with a hybrid pricing model that combines seat‑based and usage‑based fees, while also offering a free tier and open‑source components.