CopilotKit, the company behind the open-source CopilotKit framework and the AG-UI protocol, has released an early-access version of CLiF, a continuous learning platform designed to turn real application usage into training data. According to the announcement cited by Techub News, the platform uses the AG-UI protocol to securely capture both agent execution traces inside applications and users’ real actions. It then converts those full traces into learnable skills, production-based evaluation datasets, and fine-tuning datasets. The exported package also includes the original traces alongside the derived data. The release ties CLiF closely to real production activity rather than synthetic workflows described in isolation. Techub’s brief added that CopilotKit has more than 38,000 stars on GitHub. The item cited MarkTechPost as the source of the information.
CopilotKit, the company behind the open-source CopilotKit framework and the AG-UI protocol, has released an early-access version of CLiF, a continuous learning platform, according to Techub News.
The platform uses the AG-UI protocol to securely capture agent execution traces inside applications as well as users’ real actions. CopilotKit said those full traces can be converted into learnable skills, production-based evaluation datasets, and fine-tuning datasets, with all data exportable together with the original traces.
Techub’s brief also noted that CopilotKit has more than 38,000 GitHub stars. The report cited MarkTechPost.
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