AI BriefingRefine Cycle plugin improves OpenClaw agent error correction from 8% to 91%
Key point
The plugin analyzes recent sessions to identify recurring mistakes and injects corrective lessons, raising correct handling rates from 8% to 91%.
Details
Refine Cycle is a self-improvement plugin for OpenClaw agents designed to eliminate recurring errors across sessions. By analyzing recent agent interactions, the tool identifies persistent mistakes—such as incorrect date formats or missing command flags—and generates a concise lesson that the agent applies in subsequent conversations. The plugin adapts the /refine concept from Prime Intellect's Prime Agent (Continual Harness) to the OpenClaw plugin system. Measured results show OpenClaw handles 8% of repeating mistakes correctly on its own, improving to 91% with the plugin.
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