Former GitHub CEO unveils platform for AI agent developers

Former GitHub CEO Thomas Dohmke recently announced the launch of a new platform called entire.io. The platform for AI agent developers will be independent, easily scalable, and open source.

Presentation of Entire by Thomas Dohmke

According to Dohmke, large amounts of code can be generated faster than ever before. Using a terminal, developers can run multiple agents in separate windows simultaneously. Parallel agent interaction enables incredibly fast generation, and developers will rely on a standard development lifecycle.

The main goal of the new project is to create a platform where users and agents can collaborate and release new projects. Entire is based on a Git-compatible database, coordination of multiple agents, and the software development lifecycle.

The project's founders have attracted $60 million in investments. Major investors include Felicis, M12, Cherry Ventures, and Global Founders Capital.

Opportunities for developers in the first version of entire.io

In the first version of the platform, developers will be able to automatically save the agent context in Git, and there is also an option to save the entire version along with the commit. Users will be able to track them by branches, thus viewing how the code base has evolved, with the ability to add data.

At this stage, the project supports Gemini and Claude Code. Access to Cursor, Codex, and other agents will be available soon.

Advantages of Checkpoints

With each commit, Entire will write a structured checkpoint object and associate it with the commit's SHA. Here are some of the key advantages of this approach:

• Easy tracking of any changes.
• Instant analysis of constraints and intentions.
• Support for multiple agents and sessions.
• Instant transfer without replaying the session.

The Entire can be configured in two simple steps:

• curl -fsSL https://entire.io/install.sh | bash
• Next, run entire enable in your repository and follow the prompts.

The roadmap for the new project will be developed based on community discussions and feedback.

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