Entire launches a Git forge for agents and people

The announcement is a workflow proposal, not a universal change to Git nor proof that pull requests are no longer useful. The Entire page does not list the publication time and the performance numbers are statements from the company itself.

In this article you will see:

• What Entire launched
• How Trail organizes review
• What Entire's numbers show and what they do not show
• How to evaluate the platform before migrating

What Entire launched

Entire describes the product as an independent Git forge for collaboration between programming agents and developers. A forge is a platform that hosts Git repositories and adds features for reviewing and integrating changes.

The announced differentiator is bringing the repository, the traces of agent sessions and automated evaluations into the same flow. Instead of showing only a difference between versions, the proposal is to record the goal, the agent's work and the result that the team needs to validate.

The company says the service is available to developers and that private repositories can be hosted in regions in the United States, the European Union, India and Australia. The same page lists self hosting of Git nodes, public repositories and more integrations as items planned, not as features already delivered.

Entire also announced CI integrations with Buildkite and Depot. CI, or continuous integration, runs build and test steps when code changes. The page says teams can adapt existing GitHub Actions workflows for these partners.

How Trail organizes review

Trail is the work unit presented by Entire. Each Trail brings together an idea, the changes made by the agent and the result produced, so that review follows more context than an isolated diff.

The platform can run evaluations on each code submission. According to the company, agents analyze the results and can work on fixes until the defined criteria are met. A person still needs to decide if the criteria are sufficient and if the change can be integrated.

The official product demonstration shows visual indicators called Confidence, Slope and Drift. They show how Entire intends to present the state of an evaluation, but the video does not prove that these measures detect all possible defects.

The Cursor Agent SDK also treats agents as software components. The difference announced by Entire is placing the agent trail alongside Git hosting and the review process, instead of focusing only on agent definition.

What the Entire numbers demonstrate

Entire claims its pushes are up to 89 times faster than on GitHub and six times faster than on Cursor Origin. These are results published by the company itself in the product announcement, not an independent benchmark presented with the full methodology.

For that reason, these factors should not be read as a prediction for any repository. Performance can vary depending on project size, network, region, Git client and configuration. The team should measure its own workflow before assuming an operation will be faster.

Another component is Continuous Memory, a system that records sessions in the repository and allows agents to query that history. Entire describes a codebase graph that helps locate relationships between files and claims it can reduce token usage by up to 71 percent.

That percentage is also a company claim. The announcement does not present an external evaluation with the data and tasks needed to reproduce the result. It serves as a hypothesis to test, not as a guarantee of savings on all projects.

The package combines hosting, review and agent memory. For teams that already have mature processes on GitHub, the central question is not just push speed. It is whether data, permissions, automations and the audit trail remain adequate after the change.

How to evaluate the platform before migrating

Start with a test repository, not the most critical project. Push, create a small change, run CI and follow what Trail records. Compare the experience with the current flow without removing the original copy.

Define which checks are mandatory. Unit tests, integration tests, static analysis and review by one person answer different questions. An automated assessment only covers what was included in your criteria and can leave risks outside of them.

Check how permissions for agents, users and integrations work. Verify who can read a repository, start an action, approve a result and access session logs. For sensitive projects, confirm data retention, incident recovery and export options in Entire's documentation.

It is also worth testing portability. Use Git to clone and compare a repository, verify CI flows and confirm how to migrate history and automations. The announced compatibility reduces the entry barrier, but does not eliminate the work of validating hooks, keys and pipelines.

The team that uses Codex can compare this flow with a guide to building AI systems using Codex. The common point is to split implementation, tests and review, keeping explicit criteria so a person can check the delivery.

How to watch the official Entire Trails demo

Entire published a short video that shows the visual presentation of Trails and its evaluation indicators. It helps understand the proposed interface, but does not replace a security analysis, a migration test or reading the terms and documentation.

The new forge deserves a practical evaluation by teams that want to connect agent work to repositories and CI. The main care is to treat metrics, automations and review promises as resources to validate, not as automatic substitutes for the engineering process.