This is the Linux app named Reef whose latest release can be downloaded as v0.1.3sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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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
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.
