CopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning Data
CopilotKit, the company behind the open-source CopilotKit framework and the AG-UI protocol, released CLiF, a platform for continual learning from full-stack trajectories, in early access.
Proof1 independent outlet
Key points
- Teams shipping AI agents at scale keep running into the same pattern.
- CLiF, now in early access, learns from full-stack trajectories: the agent trace and the user’s actions in the product, securely captured as one timeline over AG-UI.
- CopilotKit’s view, laid out in its explainer on agent learning, is that how users actually get work done is the most valuable dataset any agent team has, and that it is rarely captured in a form an agent can learn from.
- Full-Stack Trajectories: The Training Signal CLiF Is Built On
Sources (1)
- [1]CopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning DataMarkTechPost · Oct 15, 02:19 PM
CopilotKit, the company behind the open-source CopilotKit framework and the AG-UI protocol, released CLiF, a platform for continual learning from full-stack trajectories, in early access.
Teams shipping AI agents at scale keep running into the same pattern.
Extractive summary: sentences quoted from the sources.
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