Curious about Project Adoption and Community Engagement

[LOKYRO]

I’ve been exploring the project and am really impressed by its ambitious name and purpose. However, I noticed that there haven’t been any forks, issues, or pull requests so far. This leads me to wonder:

• Is anyone actively using the project?
• Are there any real-world use cases or success stories that you could share?
• What can the community do to help drive adoption and engagement?

I believe that understanding user experiences and gathering community feedback could be immensely valuable in shaping the project's future. Looking forward to hearing your insights and discussing how we might work together to promote wider usage.

[han032206]

Thank you for your interest in the project and for your thoughtful questions!

We truly appreciate your engagement. Our project has been fully open-sourced an initial workflow—from web agent training data annotation to downloading and preprocessing (text modality). Our ultimate goal is to provide a full-stack infrastructure that enables building a native web agent from scratch. However, at this stage, our team is still in the process of validating core concepts.

That being said, we actively support community members in trying out data annotation, exporting datasets for model training, and integrating the evaluation module for assessment. For example, you can try to record some of your daily workflows on web using our tool, export it to formulate the training data, train a model using popular llm training infra like Llama Factory and host it to run on the web.

Additionally, we have released a base agent that performs inference in the browser using a closed-source prompt-based model for community members to play with and help integrate your own trained models(we will release a showcase soon).

At this stage, we encourage community members to:

• Experiment with prompting-based agents vs. natively trained web agent models.
• Share insights from model training and evaluation to enhance training data and inference logic.

Once we complete our SOP validation, we will promptly update the community with new insights and corresponding code improvements. We look forward to collaborating with you all to drive adoption and improve the project further!

Let us know if you have any questions or ideas—your feedback is invaluable to us! 🚀