# Ditto

> Ditto is a durable AI coding workspace by Ayan Parkar: every GitHub
> repo gets its own cloud sandbox with parallel agent sessions, isolated
> git worktrees and a real commit-to-PR workflow.

[← AYAN.WTF](https://www.ayn.wtf/) \ PROJECTS \ DITTO

## Overview

Ditto is a durable AI coding workspace on the web. You sign in with
GitHub, import a repository, and Ditto gives it a cloud sandbox of its
own. Open as many conversations as you like, ask an agent to read or
change the code, and take the result out as commits, a pushed branch and
a pull request.

- TYPE: AI coding workspace
- STACK: TanStack Start, Cloudflare Workers, D1, R2, Sandbox SDK
- YEAR: 2026
- STATUS: Still under active development
- REPO: [metaloozee/ditto](https://github.com/metaloozee/ditto)

[Video: Ditto home screen: a list of projects, each with its conversation count and status](https://www.ayn.wtf/projects/ditto-preview.mp4)

Ditto preview.

## How it stays durable

A Cloudflare sandbox goes to sleep when nobody is using it, and its disk
goes with it. Ditto backs up the whole workspace to R2 after every
completed agent run and restores it the next time the project wakes.

Each backup carries a generation number, so a slow older snapshot can
never overwrite a newer one. Chat history lives in D1, apart from the
sandbox. You can read an old conversation while the sandbox is still
restoring.

## Parallel sessions

Every conversation gets its own git worktree on its own branch. Two
agents can edit the same repo at once without touching each other's
files. The worktrees share one node_modules folder through a symlink, so
a new session doesn't reinstall dependencies.

A new session branches from whatever is pushed to GitHub at that moment.
Commits that only exist on your laptop are invisible to it.

## Inside a run

The browser posts your message to a Worker and reads the reply as
Server-Sent Events. The Worker wakes the sandbox, opens a shell in the
session's worktree and starts a runner that drives the agent. Text and
tool calls stream back in the order they happened.

You can send a follow-up or press Stop mid-run. Both reach the same live
agent session over a Unix socket instead of starting a new job. Closing
the tab only detaches the stream. The run carries on and the Worker
still saves the answer.

You bring your own model provider. There is one free fallback model for
accounts that haven't connected one.

## Secrets

An agent that can run shell commands can read its own environment, so I
treat the sandbox as a place secrets leak from. Project environment
variables sit encrypted in D1. The Worker decrypts them per run and
injects them into the shell. No .env file is ever written into a
worktree.

The agent never holds a GitHub credential either. To push a branch or
open a pull request it calls back to the Worker with a short-lived
signed token, and the Worker does the work with a GitHub App
installation token.

## Not done yet

Ditto is still in development. Every session in a project shares one
container, and nothing limits how many agent runs a project can start at
once yet.

## More projects

- [RANKMESH](https://www.ayn.wtf/projects/rankmesh): An autonomous SEO
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  while people review and approve. Multi-service FastAPI backend,
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  This is what I ship day to day.
- [BACKPACK](https://www.ayn.wtf/projects/backpack): Self-hostable,
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- [QUICKVID](https://www.ayn.wtf/projects/quickvid): Summarise, verify
  and chat with any YouTube video using transcripts, Gemini and RAG.
  Featured by LangChain, with 174 GitHub stars and 100+ active users
  before YouTube's crawler blocking made it unsustainable.

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