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Entire brings your code, agent sessions, and team decisions together so people and agents can build on each other’s work. You can host repositories close to where your agents run and preserve the context behind every change. Entire also has Continuous Memory that maps how your code connects with entire-graph and brings past sessions, documentation, and saved decisions together with entire-brain, so each new session can build on what your team has already learned, even when you switch agents and with Trails you can connect the idea to the implementation. Trails have agent reviews, CI results, and human approvals to help you merge with collaborate and review easily.

Set Up Entire

Start with the CLI and your coding agent, then bring your work, reviews, and project memory together.

Install the Entire CLI

Install the CLI to bring session capture and collaboration into your Git workflow.

Connect Your Coding Agent

Set up Codex, Claude Code, Cursor, or another supported agent to capture the context behind your code.

Capture Your First Checkpoint

Make a change with your agent and commit it to save the prompts, tool calls, and decisions alongside your code.

Make Your First Commit with Trails

Create a Trail, link your branch, and commit your first change. Follow the work through agent reviews, CI checks, and human approvals before merging.

Remember Everything with Continuous Memory

Set up entire-brain and entire-graph to bring code context, past sessions, and saved decisions into project memory your agents can reuse.

What Entire Does

Code Hosting

Host repositories directly on Entire’s distributed Git network or mirror existing GitHub repositories in the regions closest to your agents.

Entire Trails

Plan work with people and agents, then follow it through review and merge. A Trail brings the intended outcome together with changes across repositories and branches, agent sessions, review findings, CI results, and human approvals. Set gates to define when each change is ready to merge.

Continuous Integration

Connect Buildkite or Depot to run builds and tests on push, review results on Trails, and require checks before merging. CI integrations are available in public preview.

Session Storage

Commits made during an agent session are linked to checkpoints: the code change paired with the prompts, responses, and tool calls behind it. Review how a change happened, trace its origin, or resume work with its context intact.

Agentic Search

Search repositories, commits, and agent sessions in one query. Give agents the implementation they need and the reasoning behind it, without retracing old work.

Semantic Graph

entire-graph maps the symbols and relationships in your code so agents find answers fast, cutting token spend by up to 71%.

Continuous Memory

entire-brain brings sessions, checkpoints, documentation, code context, and saved decisions into shared project memory. Give your next agent the lessons from earlier work, even when you switch agents.

Dispatches

Turn recent agent work into shareable updates across repositories. Summarize sessions, checkpoints, and commits for team updates, reviews, and handoffs without opening every conversation.

Any Agent

Works with Claude Code, Codex, Cursor, Antigravity CLI, and more. Our open-source, MIT-licensed CLI captures sessions from any supported agent, and the Agent Integration Protocol adds others.

Why Host Your Code With Entire

Coding agents create much more Git traffic than a typical human workflow. They clone repositories, inspect history, create worktrees, and run tasks in parallel. Entire provides distributed Git hosting so agents can work from repositories close to where they run. It is up to 89x faster than the competition. You can mirror an existing GitHub repository into one or more Entire regions while keeping GitHub as the upstream source of truth, allowing your agents to clone and pull in parallel. And with Entire-native branches, you can continue pushing even during a GitHub outage, so you and your agents work is not interrupted. This helps with:
  • giving agents faster access to code and Git history
  • supporting many concurrent agent workflows
  • keeping code in the regions you choose
  • continuing working with Entire-native branches when an upstream provider is unavailable

Why Store Your Sessions with Entire

A diff doesn’t clearly explain why a change was made. It does not show the request that started the work, the files an agent inspected, the commands it ran, or the decisions it made along the way. As massive amounts of AI-generated code are created, developers, teams and agents themselves struggle to link the intent back to the code change itself. Entire captures that missing context and connects it to your Git history. You can use it to:
  • review agent work before merging
  • trace code back to the prompt and session that created it
  • understand why an earlier team or agent chose a particular approach
  • resume or hand off work with its context intact
  • search prior work instead of understanding it from scratch
Taken together, Entire represents one API for your code and the context that created it. A new system of record for agentic coding.

How It Works

  1. Install the Entire CLI in your repository.
  2. Connect Entire to the coding agent you use.
  3. Host your repository directly on Entire or mirror an existing GitHub repository in the region closest to your agents, and point your Git remote at it.
  4. Entire captures sessions and checkpoints as the agent works, and agents clone and push through your Entire remote.
  5. Continue coding with your agent, enabling it with faster clones and the history behind your work.

What Do You Want to Do?

Understand Why Code Changed

Trace a line of code back to the agent session and decisions that produced it.

Mirror a GitHub Repository

Create a regional mirror so agents clone and fetch from the region you choose.

Find Previous Decisions

Search sessions, commits, prompts, and files.

Review Agent Work Before You Merge

Catch issues across agent-generated changes with recap and review.