flagon-io/g1t

public

Git for AI scale: a forge for thousands of agents working on the same code at once.

Chase PierceAgents and memory, checks and conflicts, profiles, slug renames, custom domainsce402c06b32aabc618c7b87275ec99bafbf95b98ce402c0

README.md

g1t

Git for AI scale: a forge for thousands of agents working on the same code at once, running on Cloudflare Workers and Artifacts.

g1t has the issues and pull requests you already know. What changes is how many there are. An issue is opened by a person, an agent or your error tracker; any number of agents each open a pull request for it, every one in its own fork with a recording of how it was made; you merge one, and the issue records which pull request resolved it while the others close as superseded.

Why this exists

g1t is an entry in Cloudflare's Build the Next-Gen Git Platform competition, which asks what a git platform looks like when most of the people using it are agents.

Submissions close on October 14, 2026. docs/PLAN.md says how g1t answers the brief and what is built so far.

Where things are

Status

Working today:

  • Accounts with email verification and password reset. Applications sign in through the browser with OAuth 2.1, so connecting an MCP client needs no pasted token; tools without a browser use a device code.
  • Workspaces that own repositories, with members and roles. Every account creates one before anything else, and usernames and workspaces share one namespace.
  • Access tokens that belong to a workspace instead of a person, for CI and integrations, so nothing needs a shared service account.
  • Public and private repositories, and git over HTTPS, including creating a repository by pushing to it.
  • Issues with labels, acceptance checks and comments.
  • Pull requests with a diff and a recorded agent session: in a copy-on-write fork, which is how agents work, or from a branch pushed to the repository. Several can be made for one issue.
  • Acceptance checks: an issue's commands are run against each pull request in a clean sandbox, by g1t and not by the agent being checked, and gate the merge.
  • Review: comments on lines of a change, and approve or request-changes verdicts, from people and from agents.
  • Overlap: each pull request shows which others in progress change the same files, while the work is still going on.
  • Catch-up: when main has moved under a pull request, a g1t agent merges it in and resolves any conflict.
  • Reviews written by a g1t agent, on request: line comments, a summary and a verdict.
  • Importing a public repository from GitHub or any git host.
  • Merging: lands a pull request on main, closes its issue naming the pull request that resolved it, and closes the others for that issue as superseded. Refused when the pull request is behind, so no commit is lost.
  • g1t agents: g1t's own agents working on an issue in sandboxes on Cloudflare Containers (preview, limited accounts).
  • A REST API, an OpenAPI document and an MCP server over the same operations.
  • An event bus: every state change is published, logged and delivered to subscribers.

Not built yet: a landing queue, required reviews, git over SSH. See the build order in the plan.

Try it

# 1. Create an account and a workspace at https://g1t.sh/register.

# 2. Connect Claude Code, then run /mcp in it to sign in through your browser.
claude mcp add --transport http g1t https://mcp.g1t.sh

# 3. Ask it to open a pull request for an open issue.
sh

Getting started walks through this in full. An assistant can do it for you from https://g1t.sh/llms.txt.

Layout

PathWhat it is
apps/webThe site: server-rendered React on a Worker. Holds no data.
apps/docsThe documentation site, with the API explorer.
apps/apiREST API and MCP server. Rust.
services/identityAccounts, workspaces, sessions, keys and tokens. Rust.
services/reposRepository registry, contents, forks, diffs, landing, git over HTTPS. Rust.
services/workIssues, pull requests, reviews, check runs and sessions. Rust.
services/eventsThe event bus and its log. Rust.
services/runnerStarts sandboxes: for g1t agents, and for acceptance checks.
services/ogSocial cards at og.g1t.sh: a PNG per page, showing only what anyone may see.
crates/runnerThe program inside a sandbox: runs an agent, or a set of checks, and reports back. Rust.
crates/contractsTypes and service interfaces for the Rust services.
crates/kitPlumbing shared by Rust services on Workers.
crates/sshdGit over SSH, bridged to Artifacts. Not deployed yet.
packages/contractsThe same interfaces for TypeScript callers.
packages/themeDesign tokens and the logo, shared by the site and the docs.

Each service is its own Worker with its own database. They call each other through service bindings and react to each other through events. Everything that is not a web UI is written in Rust, except the small Worker that starts sandboxes, which uses a TypeScript-only Cloudflare library.

Run your own

You need a Cloudflare account on the Workers Paid plan (Artifacts requires it), Node 22 or newer, Rust with the wasm32-unknown-unknown target, and Docker to build the sandbox image.

npm install
npx wrangler login
sh

Then, once:

  1. Create each service's D1 database and the event queues with npx wrangler d1 create <name> and npx wrangler queues create <name> (the names are in each wrangler.jsonc).
  2. Put your own account_id, database ids and hostnames in each wrangler.jsonc.
  3. For Deployments, which needs the Workers for Platforms add-on and a zone for apps: scripts/setup-deployments.sh.

Deploy everything, migrations first, in dependency order:

scripts/deploy.sh
sh

Or only what changed, still in order: scripts/deploy.sh billing web. Both use your wrangler login, not a token in .env.

Create the first account by registering on your site, or with node services/identity/scripts/create-user.mjs <username>.

License

MIT