I love Open Source. Its the future. Reef gives developers two ways to build agents that learn from their work: update the model's weights, or improve the prompts, rules and skills around it.

The harness route can use a model API, *without local training GPUs*.

One documented example starts with a coding agent missing a test case. Feedback triggers a proposed skill update, which is tested against the current version before publication.

That's a useful foundation for experimenting with agents that stop repeating the same mistakes. You can define what counts as an improvement and track the versions you actually deploy.

Open source under Apache 2.0. Thats the way to go.