Tool profile

Google Jules

ByGoogleUS

Google asynchronous coding agent that runs in the cloud, works in parallel and delivers pull requests for review.

Google Jules wordmark in white on a dark gradient background
Country
US
Availability
Proprietary
Modalities
  • Text
  • Code
  • Image

Google Jules is Google’s asynchronous coding agent, developed by the company’s labs area. The core difference is the execution model: instead of running in your terminal, each task runs on a fresh virtual machine in the cloud from the repository and returns a pull request for review.

What it’s for

  • Dispatching coding tasks and walking away; the work continues in the cloud
  • Running several tasks in parallel, according to the plan limit
  • Generating reviewable plans, diffs and pull requests from a description
  • Fixing continuous integration failures and following review feedback

How it works

  • You start the task from the web interface, a label on a repository issue, the command line or the API
  • Each task becomes a session with recorded, auditable activities
  • Execution clones the repository, installs dependencies and runs build and tests
  • The result arrives as a pull request, which can receive fixes from feedback

Where it runs

  • The product’s web interface
  • Virtual machines in Google’s cloud
  • Its own command line
  • REST API for integration with other flows

Availability and licensing

  • Proprietary product, with no open repository for the agent
  • Access follows plans with different daily task and concurrency limits
  • Repository integration requires per-repository authorization

How it differs

  • It is asynchronous and cloud-based, not a local terminal agent
  • It is pull-request oriented, which brings it close to the code review flow
  • It is a separate product from Gemini CLI and Google Antigravity, even though it shares the Google origin

Things to note

  • It is not meant for long-running processes, such as a development server
  • The agent changes repositories; reviewing the generated pull requests is part of the flow
  • Limits and available models may vary by plan