The Git forge for agent-human collaboration

Host, review, and collaborate with agents in a new distributed Git forge that stores your intent alongside your code, built for the scale and throughput of agentic coding.

Get StartedWorks with any agent

Trails

Move past the PR, with evals at the center of review

New

Continuous Memory

Turn your repo into a multi-agent brain

Agentic Search

Search code, commits and sessions in one query

Entire CLI

Capture every agent session from your terminal

Code Hosting

Host your repos on a distributed Git network

Continuous Integration

Native integrations with agent-scale CI providers

The problem

Source Control is at a Breaking Point

Agents waste tokens searching for answers. There’s too much code to review. Agents push faster than pipelines run. And infrastructure can’t scale for the agentic era.

  • Remembering why the code changed

    Prompts, decisions, and agent sessions kept with every commit.

    Captured by Entire

  • Reviewing more code than people can read

    Custom evals flag errors, so reviewers focus where it matters.

    Reviewed by Entire

  • Running pipelines slower than agents push

    Checks that run at agent speed, so every push gets tested without the queue.

    Integrated with Entire

  • Scaling your workflow for agents

    A decentralized network built for thousands of agents cloning and pushing at once.

    Handled by Entire

  • Deciding what’s worth building

    Your ideas, your judgment, your next big thing.

    Yours again

Distributed by design. Fast by default. Code Hosting that builds on Git’s decentralized roots.

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The fastest Git network on Earth

Let agents clone and push to your repositories on a new Git-compatible source control server. Measured with forgemark, our open source Git benchmark.

Pushes per secondUp to 89× faster
Entire418
Cursor65
Pierre15
GitLab10
GitHub4.7

Host code in your preferred regions

Host your code where your team is. Available today in India, Australia, EU and the US.

European Union

Frankfurt

India

Mumbai

United States

Ohio

Singapore

Singapore

Brazil

SÃĢo Paulo

Take work from idea to merge. Replace the PR with Trails. Let your agents loop until evals are green. View changes across multiple repos. Trace your code to the session that produced it.

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From idea to implementation

Write the idea down first, or start from an agent’s push. The goal stays with the work until it merges.

api

Add rate limiting to the public API

#1009

Trail description

jagregory/rate-limits+1230 / -228

Claude Code session

khaong/drop-v1-routes+832 / -41678

Codex session

Catch what you missed

Agent reviews and evals surface actionable findings with code locations and context.

Never start from zero. Give your next session the history of how your codebase was built, not just the code that survived.

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Trace how a change happened

Open a checkpoint to revisit the prompts, tool calls, and decisions that shaped the code.

When did upload retries break?

1d ago

Searched 2w of checkpoints

Bisected the upload changes

It regressed in a3f9c21, when the upload logic was condensed and the backoff dropped.

Protected by design

Entire detects and redacts secrets before anything is stored. Sensitive data never leaves your machine.

Rotate the staging Postgres password

1d ago · 3.1s · 2 calls

Read .env.staging
Composed the connection string
bashfly secrets set DATABASE_URL
ARGUMENTS
DATABASE_URL=postgres://app:[REDACTED]@db.internal:5432/staging

The repo is the only memory your agent should need. Combine your prompts, model responses, and tool calls with a code graph to turn your repo into a continuously updated multi-agent brain.

Retrieve context, not whole repositories

Agents query the graph for relevant files, symbols, and decisions, reducing unnecessary reads and token consumption.

Up to 71% fewer tokens

Reduce token usage by up to 71% while outperforming Graphify on retrieval benchmarks.

Agents get smarter with every session

entire-brain joins captured sessions with facts, docs, and code understanding from entire-graph, so agents start informed.

One brain for the whole team

Connect entire-brain to a hosted server and your team’s agent memories live in one shared space, not scattered across individual machines.

CI built for agent-scale. Integrations with leading partners so your build and test pipelines keep up with how fast agents ship.

Checks at agent speed

Builds and tests start the moment an agent pushes, so every change gets checked without waiting in a queue.

Native partner integrations

Connect leading agent-scale CI providers in a few clicks, with results reported next to the code and sessions they checked.

ÂĐ 2026 Entire Inc.