Startup Entire Launches Distributed Git Network for the Agent Era
Five months after attracting $60 million in seed money for a $300 million valuation — called the largest seed round in developer tools history by its backer, Felicis — Entire is reimagining version control for agent-scale development, allowing developers to mirror GitHub repositories on an independent Git network built for agents.
The company, founded by former Microsoft GitHub CEO Thomas Dohmke and launched in February, has built its own distributed Git network to address the rate limits, high latency, and outages of centralized platforms. It allows developers to host repositories worldwide without a single central provider, Entire said in its announcement.
The preview, which is open under waitlist as of today, enables developers mirror an existing GitHub repository onto Entire’s network, while the code stays where it is and agents “clone and pull from a regional Entire mirror,” the company wrote. “This offloads heavy, concurrent read traffic so agents can build without rate limits.”
Looking forward, data residency, sovereignty and scale will be enabled when Entire decentralizes its network, so developers can host their repos natively.
According to Entire’s announcement, testing of the rebuilt Git back end — which the company will open source — for high-volume agent activity showed:
- Git Clone — how a repo gets copied down so a developer or agent can start working. Entire sustained ~570,000 clones/hour from a single repository.
- 200 simulated clients shallow-cloning from Frankfurt (40%), Paris, London, and Dublin over ~3 minutes.
- Git Push — how changes get sent to the shared repo, so everyone (and every agent) builds on them. Entire sustained 586 pushes/second (or ~2.1 million/hour) to a single repository or branch.
- 128 simulated agents pushing 1–10 files (2 KB each) per push over 2 minutes, each to its own branch. Tested on Entire native repositories.
- Clone + Push (mixed) — the real-world loop of pulling a repo down and pushing changes back, over and over, the way an agent actually runs. Entire sustained ~470 clone + push operations/second on a single repository.
- 128 simulated agents running shallow clone → 5 pushes → repeat, at ~50–60 ms p50 latency.
“By design, Git was always meant to be distributed. As Linus Torvalds put it in his 2007 Google Tech Talk: ‘If you’re not distributed, you’re not worth using.’ In the era of agents, centralized Git hosting has become a fundamental constraint, as the strain of billions of agents and developers hammering a central server shows up in the form of rate limits, high latency, or even outages,” said Dohmke in the announcement. “Today, we begin to return Git to its original promise, with a distributed, and soon fully decentralized and open-sourced network of interconnected nodes around the world. By doing so, we enable any developer or agent to host their code in-region, pushing, pulling, and cloning close to where they operate, fast and without bottlenecks, while still part of a global, collaborative network.”
Entire already offers a semantic memory layer that integrates with all major coding agents, and that helps agents stop repeating mistakes. It also lets developers see how and why any piece of software was made. It automatically stores each session, prompt, tool call and checkpoint directly in the repository alongside the code.
Among its features are Entire Blame, which shows why someone touched the code, including the agent session, prompt and decision behind it; Entire Review, which sends a branch to multiple agents in parallel to get an intent-aware review; and code and semantic search, through which developers and agents can search the history of code changes and why they were written.
“Session logs are now the second most important artifact in software development, and they belong in the repository alongside the code,” explained Dohmke. “With this semantic memory layer tied to the repo, agents stop repeating mistakes, which means higher accuracy, more productivity, and lower token spend. Developers can understand and verify what was built and why, which makes review far faster. And it opens up the possibility to build a new developer lifecycle, one that lets us understand and reason over the massive volumes of code AI agents now generate.”
The post Startup Entire Launches Distributed Git Network for the Agent Era appeared first on SD Times.
Tech Developers
No comments