MetaClaw implements a dual-loop meta-learning system that extracts skills from chat failures and upd

CodingšŸ“… 2026/03/14
Source@HuaxiuYaoML
#CI/CD#Demo#Developer#Fully Automatic#GitHub#Google Calendar#Low Risk#äŗ‹ä»¶č§¦å‘#代ē #ę—„åæ—
MetaClaw architecture diagram showing real-time skill extraction from chat logs and background RL weight updates triggered by Google Calendar idle slots
Day 5 building MetaClaw šŸ¦ž ā€” Mad Max Mode: your agent now meta-learns 24/7.

Beyond RL alone:
āš”ļø While you chat ā†’ skills extracted from failures, injected instantly
šŸ§  While you're away ā†’ RL weights updated via Tinker & hot-swapped

Two loops, one system ā€” inspired by how the brain learns.
āš” Skills = fast, gradient-free adaptation.
šŸ§¬ Weights = slow, RL-driven evolution.
One fuels the other.

It knows when you're busy. It trains when you're not.

Syncs with your Google Calendar. Detects idle time. Never interrupts.

šŸ“„ Technical details coming soon ā€” stay tuned.

Try it šŸ‘‰: https://t.co/RR24ZJvZ7T

Built with @openclaw and @thinkymachines

Kudos to the team @richardxp888, Jianwen Chen, @Xinyu2ML, @lillianwei423, @StephenQS0710, @HaoqinT, @JiaqiLiu835914, @zhengop, @cihangxie