CopilotKit releases CLiF, a platform that turns agent traces and user actions into skills, evals, and fine-tuning data
Original titleCopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning Data
CopilotKit has released CLiF in early access, a platform that captures agent traces and user actions as full-stack trajectories over AG-UI. CLiF turns those trajectories into skills, production-based evals, fine-tuning datasets, and raw exports, with a human reviewing every skill before publication.
The platform is fully self-hostable and works with any agent framework and model that supports AG-UI.
The article shows how user actions outside the chat can become agent skills, evals, and training data, a reusable pattern for teams building agents.
Source: MarkTechPost · marktechpost.comPublished · added here