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Reef download for Windows

Free download Reef Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Reef whose latest release can be downloaded as v0.0.2sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Reef with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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Reef


DESCRIPTION

Reef is open-source infrastructure for building AI agents that continually improve from interaction and feedback. It connects live inference, feedback collection, learning, evaluation, and versioned deployment in one lifecycle. The system can improve either underlying model weights or the surrounding agent harness, including prompts, skills, and rules. Its core loop follows four stages: serve requests, observe feedback, grow candidate improvements, and commit accepted updates. Weight-training workflows can integrate with systems such as Slime and SGLang, while harness optimization can run without local training GPUs. Versioned artifacts let deployments stay operational while new candidates are evaluated and released. Reef also supports test-time learning scenarios where measurable task outcomes can drive iterative improvement.



Features

  • Continual agent learning from feedback
  • Model-weight training workflows
  • Prompt, skill, and harness optimization
  • Serve-observe-grow-commit learning loop
  • Versioned artifact and update management
  • Test-time training and measurable evaluation


Programming Language

Python


Categories

AI Agents

This is an application that can also be fetched from https://sourceforge.net/projects/reef.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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